| Citation: | HUI Ji-zhuang, ZHANG Ze-yu, YE Min, GU Hai-rong, ZHANG Hao-bo, DUAN Yu. Review on digital twin technology for highway construction and maintenance equipment[J]. Journal of Traffic and Transportation Engineering, 2023, 23(4): 23-44. doi: 10.19818/j.cnki.1671-1637.2023.04.002 |
| [1] |
ZHANG Lin, LU Han. Discussing digital twin from of modeling and simulation[J]. Journal of System Simulation, 2021, 33(5): 995-1007. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ202105002.htm
|
| [2] |
YE Ying-xin, HU Tian-liang, ZHANG Cheng-rui, et al. Design and development of a CNC machining process knowledge base using cloud technology[J]. The International Journal of Advanced Manufacturing Technology, 2018, 94(9): 3413-3425.
|
| [3] |
SUN Hui-bin, PAN Jun-lin, ZHANG Ji-duo, et al. Digital twin model for cutting tools in machining process[J]. Computer Integrated Manufacturing Systems, 2019, 25(6): 1474-1480. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201906015.htm
|
| [4] |
LIU Shi-min, SUN Xue-min, LU Yu-qian, et al. A knowledge- driven digital twin modeling method for machining products based on biomimicry[J]. Journal of Mechanical Engineering, 2021, 57(23): 182-194. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202123018.htm
|
| [5] |
TAO Fei, ZHANG Chen-yuan, ZHANG He, et al. Future equipment exploration: digital twin equipment[J]. Computer Integrated Manufacturing Systems, 2022, 28(1): 1-16. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ202201001.htm
|
| [6] |
ZHIDCHENKO V, MALYSHEVA I, HANDROOS H, et al. Faster than real-time simulation of mobile crane dynamics using digital twin concept[J]. Journal of Physics Conference Series, 2018, 1096: 012071.
|
| [7] |
KERR M A, NASRALLAH D S, KWOK T H. First steps toward the development of virtual platform for validation of autonomous wheel loader at pulp-and-paper mill: modelling, control and real-time simulation[C]//IEEE. 2021 IEEE International Conference on Autonomous Systems (ICAS). New York: IEEE, 2021: 21201493.
|
| [8] |
SHIBANOV D A, IVANOV S L, SHISHKIN P V. Digital technologies in modeling and design of mining excavators[J]. Journal of Physics: Conference Series, 2021, 1753(1): 012052.
|
| [9] |
TAO Fei, CHENG Jiang-feng, QI Qing-lin, et al. Digital twin-driven product design, manufacturing and service with big data[J]. The International Journal of Advanced Manufacturing Technology, 2018, 94(9): 3563-3576.
|
| [10] |
ZHOU Shi-en. Modeling and precision analysis method of complex product assembly based on digital twinning[D]. Hangzhou: Zhejiang University, 2019. (in Chinese)
|
| [11] |
TAO Fei, ZHANG He, QI Qing-lin, et al. Theory of digital twin modeling and its application[J]. Computer Integrated Manufacturing Systems, 2021, 27(1): 1-15. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ202101001.htm
|
| [12] |
LI Sha-sha, SHU Liang, YANG Yan-fang, et al. Digital twin workshop system rapid construction method based on parallel computing of logic and model data[J]. Journal of Mechanical Engineering, 2021, 57(17): 76-85. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202117007.htm
|
| [13] |
XIAO Fei, ZHANG Wei-hua, WANG Dong-hui, et al. System architecture and applications for overall design of solid rocket motor based on digital twin[J]. Computer Integrated Manufacturing Systems, 2019, 25(6): 1405-1418. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201906009.htm
|
| [14] |
DALIBOR M, MICHAEL J, RUMPE B, et al. Towards a model-driven architecture for interactive digital twin cockpits[M]// Conceptual Modeling. Berlin: Springer, 2020: 377-387.
|
| [15] |
MIAO Bing-rong, ZHANG Wei-hua, LIU Jian-xin, et al. Review on frontier technical issues of intelligent railways under Industry 4.0[J]. Journal of Traffic and Transportation Engineering, 2021, 21(1): 115-131. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2021.01.005
|
| [16] |
JIANG Hai-fan, DING Guo-fu, ZHANG Jian. Evolution and operation mechanism of digital twin shopfloors[J]. China Mechanical Engineering, 2020, 31(7): 824-832, 841. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGJX202007012.htm
|
| [17] |
CHU Ying-guang, HATLEDAL L I, ZHANG Hou-xiang, et al. Virtual prototyping for maritime crane design and operations[J]. Journal of Marine Science and Technology, 2018, 23(4): 754-766.
|
| [18] |
MSC Software Corporation. The case of virtual prototyping for automobile manufacturing[EB/OL]. (2020-02-21)[2023-05-24].
|
| [19] |
SONG Yue, SHI Yi-yu, YU Jin-song, et al. Application of digital twin model in performance prediction of electro-optical detection system[J]. Computer Integrated Manufacturing Systems, 2019, 25(6): 1559-1567. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201906023.htm
|
| [20] |
FOURGEAU E, GOMEZ E, ADLI H, et al. System engineering workbench for multi-views systems methodology with 3DEXPERIENCE platform. The aircraft radar use case[C]//Springer. Complex Systems Design and Management Asia. Berlin: Springer, 2016: 269-270.
|
| [21] |
SESHADRI B R, KRISHNAMURTHY T. Structural health management of damaged aircraft structures using digital twin concept[C]//AIAA. 25th AIAA/AHS Adaptive Structures Conference. New York: AIAA, 2017: 1675.
|
| [22] |
HENSON C M, DECKER N I, HUANG Qiang. A digital twin strategy for major failure detection in fused deposition modeling processes[J]. Procedia Manufacturing, 2021, 53: 359-367.
|
| [23] |
LI Chen-zhao, MAHADEVAN S, LING You, et al. Dynamic Bayesian network for aircraft wing health monitoring digital twin[J]. AIAA Journal, 2017, 55(3): 930-941.
|
| [24] |
SONG Xue-guan, LAI Xiao-nan, HE Xi-wang, et al. Key technologies of shape-performance integrated digital twin for major equipment[J]. Journal of Mechanical Engineering, 2022, 58(10): 298-325. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202210028.htm
|
| [25] |
MA Rui, YIN Tao, LI Hao-xin, et al. Basic structure and characteristics of dam mechanism-data- driven fusion models[J]. Journal of Hydroelectric Engineering, 2022, 41(5): 59-74. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SFXB202205007.htm
|
| [26] |
ZHENG Heng-yu. Analysis of the influence of blade parameters on the performance of hydraulic torque converter based on CFD[D]. Xi'an: Chang'an University, 2017. (in Chinese)
|
| [27] |
LIU Cheng, WEI Wei, YAN Qing-dong, et al. Design of experiments to investigate blade geometric effects on the hydrodynamic performance of torque converters[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019, 233(2): 276-291.
|
| [28] |
YAN Qing-dong, LI Xin-yi, WEI Wei. Streamline inlet and outlet angles of torque converter blade design based on multi-objective optimization[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2017, 45(9): 69-75. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HZLG201709013.htm
|
| [29] |
LIU Cheng, YAN Qing-dong, WEI Wei. Three dimensional torque converter blade modelling based on bezier curves[J]. Journal of Mechanical Engineering, 2017, 53(10): 201-208. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201710025.htm
|
| [30] |
ZHANG Ze-yu, HUI Ji-zhuang, SUO Xue-feng, et al. Fluid-solid interaction analysis of torque converters[J]. High Technology Letters, 2019, 25(3): 239-244.
|
| [31] |
ZHANG Ze-yu, HUI Ji-zhuang, SUO Xue-feng, et al. Strength analysis of hydraulic torque converter under centrifugal load[J]. Journal of Gansu Agricultural University, 2018, 53(1): 162-167. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GSND201801025.htm
|
| [32] |
WANG An-lin, LIU Wei-guo, LONG Guang-cheng. Design method of blade thickness based on fluid-structure interaction of hydrodynamic torque converter[J]. Journal of Tongji University (Natural Science), 2015, 43(4): 599-604. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201504017.htm
|
| [33] |
YAN Qing-dong, LIU Bo-shen, WEI Wei. Pressure load fluctuation analysis of torque converter based on fluid-structure interaction[J]. Acta Armamentarii, 2016, 37(4): 577-583. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BIGO201604001.htm
|
| [34] |
LI Wen-jia, WANG An-lin, LI Xiao-tian, et al. Performance optimization of the design space of torque converter's blade angle under the condition of driving cycle[J]. Journal of Harbin Engineering University, 2017, 38(11): 1781-1785. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HEBG201711020.htm
|
| [35] |
HUI Ji-zhuang, HU Hao, DAI Ran, et al. MSC-based expansion and deformation analysis of torque converter[J]. China Journal of Highway and Transport, 2015, 28(5): 144-149. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201505012.htm
|
| [36] |
SUO Xue-feng, JIAO Sheng-jie, ZHANG Ze-yu, et al. Performance calculation and experimental research of hydraulic torque converter based on ANSYS-CFX[J]. Journal of Machine Design, 2018, 35(10): 8-14. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXSJ201810002.htm
|
| [37] |
HUI Ji-zhuang, ZHANG Guang-hui, NIE Chun-peng, et al. Calculation method of external characteristic for sheet-metal hydraulic torque converter[J]. Journal of Traffic and Transportation Engineering, 2015, 15(1): 74-81. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2015.01.010
|
| [38] |
LIU Chun-bao, YANG Kong-hua, LI Jing, et al. Performance improvement and flow field investigation in hydraulic torque converter based on a new design of segmented blades[J]. Proceedings of the Institution of Mechanical Engineers, Part D—Journal of Automobile Engineering, 2020, 234(8): 2162-2175.
|
| [39] |
WU Guang-qiang, CHEN Jie, ZHEN Wen-jie. Performance analysis and improvement of flat torque converters using DOE method[J]. Chinese Journal of Mechanical Engineering, 2018, 31(4): 101-106.
|
| [40] |
WEI Wei, PENG Hui, LIU Xu, et al. Research on dynamic oil-filling cushioning properties of locking clutch in a hydrodynamic transmission vehicle[J]. Acta Armamentarii, 2019, 40(7): 1358-1364. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BIGO201907004.htm
|
| [41] |
LI Wen-jia, WANG An-lin, MENG Qing-hua, et al. Transfer function representation of dynamic circulating flow rate of torque converter[J]. Journal of South China University of Technology (Natural Science Edition), 2016, 44(7): 22-28. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HNLG201607004.htm
|
| [42] |
LI Wen-jia, WANG An-lin, CAO Yan, et al. Method of selecting planar flow model for the design performance of torque convertors[J]. Journal of Xi'an Jiaotong University, 2017, 51(7): 78-83, 155. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAJT201707012.htm
|
| [43] |
WANG An-lin, MENG Qing-hua, LI Wen-jia, et al. Integral weighted evaluation method for custom-made type selection of hydraulic torque converters[J]. Journal of South China University of Technology (Natural Science Edition), 2016, 44(6): 143-148. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HNLG201606023.htm
|
| [44] |
ZHANG Ze-yu, HUI Ji-zhuang, SHI Ze, et al. Modal analysis of the torque converter in different prestress[J]. High Technology Letters, 2020, 26(1): 61-67.
|
| [45] |
ZHANG Ze-yu, BU Zheng-feng, HUI Ji-zhuang, et al. Thermal characteristics of assembly of high power torque converter in traction condition[J]. Journal of Chang'an University (Natural Science Edition), 2018, 38(3): 116-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201803015.htm
|
| [46] |
CHEN Qi, YAO Zhi-gang, CHEN Wu-wei, et al. Design and verification of model-based fault diagnosis system for hydraulic torque converter[J]. Automotive Engineering, 2018, 40(10): 1246-1253. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201810018.htm
|
| [47] |
LIU Chun-bao, LI Jing, BU Wei-yang, et al. Application of scale-resolving simulation to a hydraulic coupling, a hydraulic retarder, and a hydraulic torque converter[J]. Journal of Zhejiang University—Science A (Applied Physics and Engineering), 2018, 19(12): 904-925.
|
| [48] |
YANG Yang, LIOU W W, QURESHI F, et al. Transmission fluid properties effects on performance characteristics of a torque converter: a computational study[J]. Tribology Transactions, 2021, 64(6): 1055-1063.
|
| [49] |
LIU Cheng, YAN Qing-dong, LI Juan, et al. Investigation on the cavitation characteristics of high power-density torque converter[J]. Journal of Mechanical Engineering, 2020, 56(24): 147-155. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202024015.htm
|
| [50] |
ZHANG Yan, FENG Qiao-qi, HUANG Qing-qing, et al. Rolling bearing state recognition under variable condition using part-based representation of nonnegativity constrained autoencoder networks[J]. Chinese Journal of Scientific Instrument, 2020, 41(4): 77-85. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB202004009.htm
|
| [51] |
ZHOU Jian-min, YIN Wen-hao, YOU Tao, et al. Online identification of rolling bearing degradation state based on DSHDD and fuzzy evaluation[J]. Journal of Vibration Engineering, 2021, 34(3): 646-653. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDGC202103023.htm
|
| [52] |
CAO Ning, JIANG Zhi-nong, GAO Jin-ji. Rolling bearing state recognition based on transfer learning under small samples[J]. Noise and Vibration Control, 2020, 40(5): 89-94, 132. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZSZK202005016.htm
|
| [53] |
WANG Sheng-jie, YIN Hong, PENG Zhen-rui. Fault detection of rolling bearings based on improved HHT and SVM[J]. Noise and Vibration Control, 2021, 41(1): 89-94, 107. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZSZK202101018.htm
|
| [54] |
XIE Feng-yun, CHEN Hong-nian, XIE San-mao, et al. Bearing state recognition based on kernel principal component analysis of particle swarm optimization[J]. Measurement and Control Technology, 2018, 37(3): 28-31, 35. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-IKJS201803010.htm
|
| [55] |
PEI Di, YUE Jian-hai, JIAO Jing. Weak fault feature extraction of rolling bearing based on autocorrelation and energy operator enhancement[J]. Journal of Vibration and Shock, 2021, 40(11): 101-108, 123. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202111015.htm
|
| [56] |
WEN Jiang-tao, YAN Chang-hong, SUN Jie-di, et al. Bearing fault diagnosis method based on compressed acquisition and deep learning[J]. Chinese Journal of Scientific Instrument, 2018, 39(1): 171-179. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201801021.htm
|
| [57] |
CAO Zheng-zhi, YE Chun-ming. Prediction of bearing remaining useful life involving the rotation period[J]. Computer Integrated Manufacturing Systems, (2021-07-05)[2023-05-24].
|
| [58] |
KANG Shou-qiang, CHEN Wei-wei, WANG Yu-jing, et al. Method of state identification of rolling bearings based on deep domain adaptation under varying loads[J]. IET Science, Measurement and Technology, 2020, 14(3): 303-313.
|
| [59] |
WU Chen-fang, YANG Shi-xi, HUANG Hai-zhou, et al. An improved fault diagnosis method of rolling bearings based on LeNet-5[J]. Journal of Vibration and Shock, 2021, 40(12): 55-61. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202112008.htm
|
| [60] |
ZHANG Chen, ZHAO Rong-zhen, DENG Lin-feng. Weak fault identification of rolling bearings based on VMD singular value entropy[J]. Journal of Vibration and Shock, 2018, 37(21): 87-91, 107. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201821014.htm
|
| [61] |
DING Jia-man, WU Ye-hui, LUO Qing-bo, et al. A fault diagnosis method of mechanical bearing based on the deep forest[J]. Journal of Vibration and Shock, 2021, 40(12): 107-113. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202112014.htm
|
| [62] |
ZHANG Xi-ning, YU Di, LIU Shu-yu. Research on fault diagnosis method for small sample bearing based on transfer learning[J]. Journal of Xi'an Jiaotong University, 2021, 55(10): 30-37. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAJT202110004.htm
|
| [63] |
QI Yong-sheng, GUO Chun-yu, SHI Fang, et al. Intelligent diagnosis algorithm for rolling element bearings faults based on dual structure deep learning[J]. Journal of Vibration and Shock, 2021, 40(10): 103-113. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202110014.htm
|
| [64] |
QI Yong-sheng, FAN Ji, LIU Li-qiang, et al. Fault diagnosis of wind turbine bearings based on morphological fractal and extreme learning machine[J]. Acta Energiae Solaris Sinica, 2020, 41(6): 102-112. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TYLX202006014.htm
|
| [65] |
ZHAO Chun-hua, HU Heng-xing, CHEN Bao-jia, et al. Bearing fault diagnosis based on the deep learning feature extraction and WOA-SVM state recognition[J]. Journal of Vibration and Shock, 2019, 38(10): 31-37, 48. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201910005.htm
|
| [66] |
LU Yi-xiang, SONG Zhi-hong, GAO Qing-wei, et al. Bearing fault diagnosis based on multi-band filtering[J]. IET Science, Measurement and Technology, 2022, 16(2): 101-117.
|
| [67] |
YANG Bin, LEI Ya-guo, JIA Feng, et al. A polynomial kernel i nduced distance metric to improve deep transfer learning for fault diagnosis of machines[J]. IEEE Transactions on Industrial Electronics, 2020, 67(11): 9747-9757.
|
| [68] |
WEN Long, GAO Liang, LI Xin-yu. A new deep transfer learning based on sparse auto-encoder for fault diagnosis[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(1): 136-144.
|
| [69] |
LI Xiang, ZHANG Wei, DING Qian. A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning[J]. Neurocomputing, 2018, 310: 77-95.
|
| [70] |
WANG Yu-jing, LI Shao-peng, KANG Shou-qiang, et al. Method of predicting remaining useful life of rolling bearing combining CNN and LSTM[J]. Journal of Vibration, Measurement and Diagnosis, 2021, 41(3): 439-446, 617. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS202103003.htm
|
| [71] |
ZHANG Yan, TANG Bao-ping, HAN Yan, et al. Life prediction for rolling bearings utilizing both failure and truncated samples[J]. Journal of Vibration and Shock, 2017, 36(23): 10-16. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201723002.htm
|
| [72] |
KANG Shou-qiang, XING Ying-yi, WANG Yu-jing, et al. Rolling bearing life prediction based on unsupervised deep model transfer[J]. Acta Automatica Sinica, 2021, DOI: 10.16383/j.aas.c200890.(inChinese)
|
| [73] |
LIU Xiao-feng, FENG Wei, BO Lin. Bearing RUL prediction of bearing remaining useful life involving difference and similarity of degradation trajectories[J]. Control and Decision, 2021, 36(11): 2833-2840. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KZYC202111030.htm
|
| [74] |
WU Hao-nian, CHEN Ren-xiang, HU Xiao-lin, et al. Life stage identification of rolling bearing based on improved BDA method[J]. Journal of Vibration Engineering, 2021, 34(1): 194-201. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDGC202101022.htm
|
| [75] |
CHEN Ren-xiang, CHEN Si-yang, HU Xiao-lin, et al. Life status identification of rolling bearing under different working condition based on multi-source integrated GFK[J]. Journal of Vibration Engineering, 2020, 33(3): 614-621. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDGC202003021.htm
|
| [76] |
BO Lin, YAN Kang, LIU Xiao-feng. Feature evaluation and model optimization for bearing life prediction[J]. Journal of Vibration, Measurement and Diagnosis, 2020, 40(2): 361-366, 422. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS202002022.htm
|
| [77] |
QING Chuan-fan, YU Fei, MIN Xuan. Research on life prediction of motor bearing based on vibration signal[J]. Journal of Physics: Conference Series, 2021(1907): 012054.
|
| [78] |
DONG Shao-jiang, WU Wen-liang, HE Kun, et al. Bearing life state recognition method based on performance degradation evaluation[J]. Journal of Vibration and Shock, 2021, 40(5): 186-192, 210. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202105026.htm
|
| [79] |
ZHANG Ze-yu, HUI Ji-zhuang, WU Lin-lin, et al. A power matching method of a loader engine and a hydraulic torque converter: China, CN109990090B[P]. 2020-07-10. (in Chinese)
|
| [80] |
WANG Zhen-bao, QIN Si-cheng. Optimization of matching on torque converter with engine based on improved radar chart method[C]//IEEE. 2017 International Conference on Computer Network, Electronic and Automation (ICCNEA). New York: IEEE, 2017: 370-373.
|
| [81] |
MA Hui-chen, LIU Cheng, LI Juan, et al. Research on general characteristics of hydraulic torque converter and its matching method[J]. Transactions of Beijing Institute of Technology, 2021, 41(9): 927-934. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BJLG202109004.htm
|
| [82] |
PENG Zheng-hu, ZHAO Li-mei, WU Huai-chao, et al. Based on genetic algorithm loader engine and hydraulic torque converter matching optimization analysis[J]. Machine Tool and Hydraulics, 2017, 45(11): 126-130. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JCYY201711029.htm
|
| [83] |
WANG Zhen-bao, QIN Si-cheng. Optimization of matching on torque converter with engine based on typical operating condition[J]. Journal of Central South University (Science and Technology), 2017, 48(2): 331-336. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZNGD201702009.htm
|
| [84] |
LI Xiao-xiang, WANG An-lin, LI Xiao-tian. Uncertainty estimation for clutch engagement process control[J]. Journal of Xi'an Jiaotong University, 2020, 54(7): 17-24. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAJT202007004.htm
|
| [85] |
WANG Run-hong, WANG Hong-jun, ZOU Xiang-jun, et al. Combined gearbox transmission ratio optimization research based on hybrid particle swarm[J]. Journal of System Simulation, 2021, 33(4): 825-836. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ202104010.htm
|
| [86] |
WANG Shao-jie, HOU Liang, FANG Yi-kai, et al. Optimization design of wheel loader gearbox considering product operational big data[J]. Journal of Mechanical Engineering, 2018, 54(22): 218-232. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201822026.htm
|
| [87] |
WANG Chen, ZHAO Zhi-guo, ZHANG Tong, et al. Structure optimization and its validation for compound power-split e-CVT[J]. China Journal of Highway and Transport, 2015, 28(3): 117-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201503019.htm
|
| [88] |
ZHANG Shan-shan, LI Fang-yi, JIA Xiu-jie, et al. Optimization of grey target model for evaluation of wear state of gearbox[J]. Computer Integrated Manufacturing Systems, 2019, 25(9): 2159-2166. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201909004.htm
|
| [89] |
YE Kai-qiang, GAO Hong, XIAO Ping, et al. DRNN-based shift decision for automatic transmission[J]. Advances in Mechanical Engineering, 2020, 12(11): 168781402097529.
|
| [90] |
WANG Jing-tao, LU Jin-gui, WANG Bang-xiang, et al. Application of food chain conduction response algorithm in gearbox optimization[J]. Computer Integrated Manufacturing Systems, 2019, 25(1): 197-207. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201901020.htm
|
| [91] |
LIU Yong, GU Li-chen, YANG Bin, et al. Experimental research on pressure control with adjusting speed under the close-loop and flow control with adjusting load under the open-loop in a hydraulics system[J]. Machine Design and Research, 2015, 31(2): 121-124. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSYY201502037.htm
|
| [92] |
YANG Bin, GU Li-chen, LIU Yong. A graphical technique of kinetic energy stiffness identification for mechanical electro-hydraulic system[J]. Journal of Vibration and Shock, 2017, 36(4): 119-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201704019.htm
|
| [93] |
XU Rui, GU Li-chen. Semi-empirical parametric modeling for efficiency characteristics of axial piston pump[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(7): 382-390. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-NYJX201607052.htm
|
| [94] |
GUO Rui, LI Yong-tao, SHI Yue, et al. Research on identification method of wear degradation of external gear pump based on flow field analysis[J]. Sensors, 2020, 20(14): 4058.
|
| [95] |
ZHAO Song, GU Li-chen, YANG Bin. Multi-variable coupled mechanism and kinetic energy stiffness analysis method for a mechanical-electrical hydraulic system[J]. Journal of Vibration and Shock, 2018, 37(11): 27-33. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201811006.htm
|
| [96] |
CHU Xue-ning, CHEN Han-si, MA Hong-zhan. Identification of critical design parameter for mechanical products based on performance data[J]. Journal of Mechanical Engineering, 2021, 57(3): 185-196. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202103018.htm
|
| [97] |
TIAN Zai-ke, LI Hong-ru, WANG Wei-guo, et al. Application of MOMED and bispectral analysis to degradation feature extraction for hydraulic pumps[J]. Journal of Vibration Engineering, 2019, 32(4): 730-738. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDGC201904021.htm
|
| [98] |
BIAN Yong-ming, FANG Xiao-jun, YANG Meng, et al. Automatic rolling control for unmanned vibratory roller based on fuzzy algorithm[J]. Journal of Tongji University (Natural Science), 2017, 45(12): 1830-1838. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201712014.htm
|
| [99] |
CAO Yuan-wen, LIN Yan-wen, WU Chun-yang, et al. The roller compacting trajectory of roller based on GPS technology[J]. Journal of Harbin Institute of Technology, 2019, 51(1): 65-70. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HEBX201901009.htm
|
| [100] |
KRISHNAMURTHY B K, TSENG H P, SCHMITT R L, et al. AutoPave: towards an automated paving system for asphalt pavement compaction operations[J]. Automation in Construction, 1998, 8(2): 165-180.
|
| [101] |
PAN Xiao-hu. Study on quality control system of asphalt pavement construction in high temperature and cold area[D]. Chengdu: Southwest Jiaotong University, 2018. (in Chinese)
|
| [102] |
BAI Tao, ZHANG Jun, YE Min, et al. Research on paver remote monitoring system based on multi-bus interface terminal[J]. Control Engineering of China, 2020, 27(10): 1788-1794. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JZDF202010019.htm
|
| [103] |
KASSEM E, LIU Wen-ting, SCULLION T, et al. Development of compaction monitoring system for asphalt pavements[J]. Construction and Building Materials, 2015, 96: 334-345.
|
| [104] |
RUAN Yang-zhi. A real-time monitoring system of airport high fill compaction quality based on cloud radiation[D]. Beijing: Beihang University, 2018. (in Chinese)
|
| [105] |
ZHANG Jun, LI Yi-bin, BAI Tao, et al. Information management system of highway maintenance equipment based on cloud platform[J]. Control Engineering of China, 2021, 28(6): 1203-1209. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JZDF202106021.htm
|
| [106] |
ZHAO Yu-long. Research on construction process control of asphalt pavement based on BIM technology[D]. Nanjing: Southeast University, 2018. (in Chinese)
|
| [107] |
MA Yuan, CHEN Feng, MA Tao, et al. Intelligent compaction: an improved quality monitoring and control of asphalt pavement construction technology[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9): 14875-14882.
|
| [108] |
DONG Gang, LIU Yi-bin, ZHENG Nan-xiang. Study on real-time monitoring system of asphalt pavement construction process quality information[J]. Journal of Highway and Transportation Research and Development, 2015, 32(11): 27-32, 40. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201511005.htm
|
| [109] |
LIN Tong, JIAO Sheng-jie, YE Min. Remote intelligent monitoring system on the asphalt pavement construction of express highway[J]. Journal of Chang'an University (Natural Science Edition), 2015, 35(1): 26-32. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201501006.htm
|
| [110] |
ZHANG Ying-shuang. Measurement and application of load spectrum of loader transmission system[D]. Jilin: Jilin University, 2014. (in Chinese)
|
| [111] |
MA Xiang-ming, SUN Xia, ZHANG Qiang. Construction and analysis on typical working cycle of wheel loader[J]. Journal of Shandong University (Engineering Science), 2015, 45(5): 82-87, 94. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SDGY201505012.htm
|
| [112] |
LYU Jian-mei, NIU Li-min, QIN Zi-chen, et al. Driving cycle identification and parameters optimization for parallel hybrid electric vehicle[J]. Journal of Anhui University of Technology (Natural Science), 2018, 35(3): 232-239, 255. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HDYX201803008.htm
|
| [113] |
JIANG Chao, JIN Tian-xu, LUO Wei-dong, et al. Power prediction of hybrid power scraper based on conditions recognition and Markov chain[J]. Journal of China Coal Society, 2019, 44(S1): 330-337. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB2019S1038.htm
|
| [114] |
FENG Pei-en, PENG Bei, GAO Yu, et al. Intelligent identification for working-cycle stages of hydraulic excavator[J]. Journal of Zhejiang University (Engineering Science), 2016, 50(2): 209-217. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDZC201602003.htm
|
| [115] |
ZHANG Ze-yu, HUI Ji-zhuang, SHI Ze, et al. Cycle condition identification of loader based on optimized KNN algorithm[J]. IEEE Access, 2020, 8: 69532-69542.
|
| [116] |
HUANG Jian-fei, CHENG Xin-chun, SHEN Yu-ying, et al. Deep learning-based prediction of throttle value and state for wheel loaders[J]. Energies, 2021, 14(21): 7202.
|
| [117] |
YU Xiang-jun, HUAI Yuan-hui, LI Xue-fei, et al. Shoveling trajectory planning method for wheel loader based on Kriging and particle swarm optimization[J]. Journal of Jilin University (Engineering and Technology Edition), 2020, 50(2): 437-444. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202002006.htm
|
| [118] |
CHEN Yan-hui, WANG Jian-zhen, ZHANG Te. Simulation study on the scooping trajectories of loader based on EDEM[J]. IOP Conference Series: Materials Science and Engineering, 2018, 382(4): 042016.
|
| [119] |
SHI Jun-ren, SUN Dong-ye, QIN Da-tong, et al. Obstacle avoidance trajectory planning and model-predicted trajectory tracking of wheel loaders[J]. China Journal of Highway and Transport, 2021, 34(5): 224-236. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202105021.htm
|
| [120] |
ZOU Nai-wei, HUANG Hong-dao, ZHANG Er-ping, et al. Establish oriented operating terminals wheel loader duty cycle[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(1): 78-85. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-NYGU201501012.htm
|
| [121] |
ZHOU Di, ZHANG Xu-fang, ZHANG Yi-min. Reliability sensitivity analysis and optimization design of shearer traction part[J]. Journal of Northeastern University (Natural Science), 2017, 38(1): 81-85. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DBDX201701017.htm
|
| [122] |
WANG Zhen-bao, QIN Si-cheng. Analysis of energy distribution and optimization of powertrain on wheel loader[J]. Journal of Central South University (Science and Technology), 2017, 48(9): 2338-2344. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZNGD201709012.htm
|
| [123] |
ZHAO Ding-xuan, LI Tian-yu, KANG Huai-liang, et al. Automatic shift technology of hybrid power engineering vehicle[J]. Journal of Jilin University (Engineering and Technology Edition), 2014, 44(2): 358-363. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201402013.htm
|
| [124] |
ZHANG Ze-yu, HUI Ji-zhuang, ZHENG Heng-yu, et al. Research of comprehensive power matching for rotary head's hydraulic system of rotary drilling rig power head[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(12): 1834-1841. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXKX201612007.htm
|
| [125] |
ZHANG Ze-yu, HUI Ji-zhuang, BU Zheng-feng, et al. Power matching and speed sensing control between hydraulic torque converter and engine[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(1): 55-62. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXKX201801010.htm
|
| [126] |
YAN Xu-dong, YANG Jing, QUAN Long. Co-simulation and experiment of wheel loader during operation process[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(16): 102-109. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-NYGU201516015.htm
|
| [127] |
ZHANG Hua, ZHAO Lei, CHENG Hua. Research on hydraulic system optimization of loader based on GA-BP[J]. Manufacturing Technology, 2019, 19(6): 952-958.
|
| [128] |
LIN Tao, WANG Xin, JIAO Sheng-jie, et al. Study on energy saving technique based on engine power-variable control method for motor graders[J]. China Journal of Highway and Transport, 2012, 25(6): 154-158. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201206028.htm
|
| [129] |
ZHU Wu-wei, LI Yu, FENG Zhong-xu, et al. Improvement of roller running system based on closed-loop control[J]. China Journal of Highway and Transport, 2017, 30(5): 152-158. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201705020.htm
|
| [130] |
LIN Tong. Research on operation quality monitoring system of vibrating roller during compaction based on cloud service[D]. Xi'an: Chang'an University, 2018. (in Chinese)
|
| [131] |
LIU Dong-hai, CHEN Jun-jie, LI Shuai. Collaborative operation and real-time control of roller fleet for asphalt pavement compaction[J]. Automation in Construction, 2019, 98: 16-29.
|
| [132] |
ZHANG Chen-guang, XIE Li-yang, JIAO Sheng-jie, et al. Flow field simulation and experimental study on volute separators for asphalt mixing plants[J]. China Journal of Highway and Transport, 2018, 31(8): 218-226. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201808025.htm
|
| [133] |
LI Ze-chuang, CHENG Pei-feng, HU Zhi-wen, et al. Compaction quality control and rolling dynamic response simulation analysis of earth-rock embankment[J]. Journal of Civil and Environmental Engineering, 2021, 43(4): 33-41. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JIAN202104004.htm
|
| [134] |
GRUDZI AN'G SKI M, MARCHEWKA L, PAJOR M, et al. Stereovision tracking system for monitoring loader crane tip position[J]. IEEE Access, 2020, 8: 223346-223358.
|
| [135] |
TAN Peng, LIU Xin-hui, CHEN Wei, et al. Analysis on retracting phenomenon of boom cylinder of loader under unloading condition[J]. Journal of Jilin University (Engineering and Technology Edition), 2021, 51(4): 1204-1212. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202104006.htm
|
| [136] |
JIA Jie, LIU Hong-hai, XIN Qiang, et al. Investigation of paver screed on coupling compaction characteristics considering shock and vibration[J]. Journal of Vibration and Shock, 2018, 37(16): 91-97, 146. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201816014.htm
|
| [137] |
LIU Dong-hai, ZHANG Yi-fei, LIU Qiang. Real-time quality control on lift thickness and pavement roughness of asphalt concrete core walls[J]. Journal of Hydroelectric Engineering, 2021, 40(2): 195-203. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SFXB202102020.htm
|
| [138] |
JIANG Wan, ZHU Zhen-dong. Impacts wide paver screed conveyor of speed on dosing quality[J]. China Mechanical Engineering, 2016, 27(19): 2602-2606. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGJX201619008.htm
|
| [139] |
JIAO Sheng-jie, XU Qing-gang, LIU Qiu-bao, et al. Research and application on effective pavement contact width of double-drum vibratory roller[J]. Journal of Chang'an University (Natural Science Edition), 2018, 38(2): 120-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201802016.htm
|