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ZENG Jing, PENG Xin-yu, WANG Qun-sheng, ZHANG Hao, LIANG Song-kang. Review on detection technologies of railway vehicle wheel flat fault[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 1-18. doi: 10.19818/j.cnki.1671-1637.2022.02.001
Citation: ZENG Jing, PENG Xin-yu, WANG Qun-sheng, ZHANG Hao, LIANG Song-kang. Review on detection technologies of railway vehicle wheel flat fault[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 1-18. doi: 10.19818/j.cnki.1671-1637.2022.02.001
shu

Review on detection technologies of railway vehicle wheel flat fault

doi: 10.19818/j.cnki.1671-1637.2022.02.001

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Funds:

National Natural Science Foundation of China 61960206010

National Natural Science Foundation of China 52102441

Independent Project of State Key Laboratory of Traction Power 2022TPL-T10

Independent Project of State Key Laboratory of Traction Power 2019TPL-T18

More Information
  • Author Bio:

    ZENG Jing(1963-), male, professor, PhD, zeng@swjtu.edu.cn

  • Received Date: 2021-11-04
  • Publish Date: 2022-04-25
    Abstract
  • From the impact effect of wheel flat of railway vehicle on track and its damage to vehicle parts, several schemes for the wheel flat detection were systematically combed out.The characteristics of various kinds of wheel flat fault detection methods were discussed, the advantages and disadvantages of different methods were compared, and the development trend of the system for wheel flat fault detection technologies was predicted. Analysis results reveal that the wheel flat fault detection technologies can be divided into the vehicle-mounted detection method and wayside detection method, among which the wayside detection method is widely used. At present, the relatively mature wheel flat detection technologies are mainly divided into the wheel and rail impact detection method, ultra-sonic detection method, noise detection method, wheel tread displacement detection method, vibration acceleration detection method, image detection method, optical detection method, track circuit interruption method and so on.In recent years, with the development of science and technology, methods such as the Doppler effect method, ultrasonic echolocation method and so on have emerged.With the progress of modern intelligent algorithms, intelligent algorithms such as the neural networks are employed to the train equipment for the fault identification, which can greatly simplify the equipment development process and device structure. Therefore, intelligent algorithms may become the main development direction of wheel flat fault identification. As time goes by, the trend of multi-fault integration of detection equipment becomes more prominent, and multi-fault detection integration and functional diversification have become one of the important directions in the development of intelligent detection equipment. In the future, the improvements in operating systems will also focus on the humanization and intelligence of platforms. Suggestions on the detection system are put forward from three aspects, namely, real-time monitoring of the operation line, accurate detection of depot entry, and information-based data platforms. Future development should emphasize simple devices, accurate algorithms, and intelligent operation. 3 tabs, 22 figs, 79 refs.

     

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  • [1]
    SARIKAVAK Y, GODA K. Dynamic wheel/rail interactions for high-speed trains on a ballasted track[J]. Journal of Mechanical Science and Technology, 2022, 36(2): 689-698. doi: 10.1007/s12206-022-0117-7
    [2]
    WEN Ze-feng, XIAO Guang-wen, XIAO Xin-biao, et al. Dynamic vehicle-track interaction and plastic deformation of rail at rail welds[J]. Engineering Failure Analysis, 2009(16): 1221-1237.
    [3]
    SHEN Zhi-yun. On the principles and methods to reduce the wheel/rail forces for rail freight vehicles[J]. Vehicle System Dynamics, 1992(20): 584-595.
    [4]
    WANG Qi-chang. Analysis of impact influence of wheel tread flat spot on railway track[J]. Journal of Southwest Jiaotong University, 1991, 26(4): 45-48. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT199104006.htm
    [5]
    ZHAI Wan-ming. Dynamic effect of railway wheel flat[J]. Rolling Stock, 1994(7): 1-5. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDCL407.000.htm
    [6]
    GULLERS P, ANDERSSON L, LUNDEN R. High-frequency vertical wheel-rail contact forces-field measurements and influence of track irregularities[J]. Wear, 2008, 265(10): 1472-1478.
    [7]
    ISHIDA H, MATSUO M, TEZUKA K et al. Method of measuring wheel and rail contact forces and derailment quotients continuously (development of a measuring device)[J]. Transactions of the Japan Society of Mechanical Engineers, 1997, 63(614): 3417-3423. doi: 10.1299/kikaic.63.3417
    [8]
    HAM Y, LEE D, KWON S, et al. Continuous measurement of interaction forces between wheel and rail[J]. International Journal of Precision Engineering and Manufacturing. 2009, 10(1): 35-39. doi: 10.1007/s12541-009-0006-3
    [9]
    DWYER-JOYCE R S, YAO C, LEWIS R, et al. An ultra-sonic sensor for monitoring wheel flange/rail gauge corner contact[J]. Journal of Rail Rapid Transit, 2013, 227(2): 188-195. doi: 10.1177/0954409712460986
    [10]
    FRANKENSTEIN B, HENTSCHEL D, PRIDOEHL E, et al. Hollow shaft integrated health monitoring system for railroad wheels[J]. Proceedings of SPIE: 2005, 5770(5): 46-55.
    [11]
    GAO Rui-peng, SHANG Chun-yang, JIANG Hang. A fault detection strategy for wheel flat scars with wavelet neural network and genetic algorithm[J]. Journal of Xi'an Jiaotong University, 2013, 47(9): 88-91, 111. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAJT201309015.htm
    [12]
    JIANG Hang, SHANG Chun-yang, GAO Rui-peng. Wheel/rail fault noise diagnosis method based on EMD and neural network[J]. Journal of Vibration and Shock, 2014, 33(17): 34-38. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201417008.htm
    [13]
    YAMAMOTO S, SATORU S. Automatic wheelset inspection device[J]. Foreign Locomotive and Rolling Stock Technology, 1990(6): 33-36.
    [14]
    ODA B. Development of detecting device for tread abrasion[J]. Foreign Diesel Locomotive, 1992(12): 3-8. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWMJ199212001.htm
    [15]
    NAOMI W. Development of detection device for tread abrasions[J]. Foreign Locomotive and Rolling Stock Technology, 2003(3): 25-31. (in Chinese)
    [16]
    DONG Wei. Fault detection of urban rail track flat scar based on rail side vibration signal[D]. Nanjing: Nanjiing University of Science and Technology, 2018. (in Chinese)
    [17]
    SKARLATOS D, KARAKASIS K, TROCHIDIS A. Railway wheel fault diagnosis using a fuzzy-logic method[J]. Applied Acoustics, 2004, 65(10): 951-966. doi: 10.1016/j.apacoust.2004.04.003
    [18]
    LIU Xue-wen, CHOU Wu-sheng, LIU Jing-hua, et al. PC based on-line fault detection system for locomotive wheel[J]. Computer Engineering and Applications, 2004, 40(28): 188-190, 197. (in Chinese) doi: 10.3321/j.issn:1002-8331.2004.28.058
    [19]
    WANG Peng-fei. Development of wheel-flat detection system and algorithm research[D]. Harbin: Harbin Engineering University, 2009. (in Chinese)
    [20]
    ZHAO Rong. Research on on-rail sensing algorithm for wheel flat of high-speed train[D]. Beijing: Beijing Jiaotong University, 2017. (in Chinese)
    [21]
    LI Zhong-ji, WEI Lai, DAI Huan-yun, et al. Identification method of wheel flat based on Hilbert-Huang transform[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 33-41. (in Chinese) doi: 10.3969/j.issn.1671-1637.2012.04.005
    [22]
    LIANG B, IWNICKI S D, ZHAO Y, et al. Railway wheel-flat and rail surface defect modelling and analysis by time-frequency techniques[J]. Vehicle System Dynamics, 2013, 51(9): 1403-1421. doi: 10.1080/00423114.2013.804192
    [23]
    DAI Wen-yuan. Trouble shooting research of high-speed train wheels[D]. Shenyang: Northeastern University, 2014. (in Chinese)
    [24]
    LI Yi-fan, LIU Jian-xin, LIN Jian-hui, et al. Fault diagnosis method of railway vehicle with wheel flat based on self-adaptive multi-scale morphology analysis[J]. Journal of Traffic and Transportation Engineering, 2015, 15(1): 58-65. (in Chinese) doi: 10.3969/j.issn.1671-1637.2015.01.008
    [25]
    BOSSO N, GUGLIOTTA A, NICOLO Z. Wheel flat detection algorithm for onboard diagnostic[J]. Measurement, 2018(123): 193-202.
    [26]
    LIU Ji, FENG Ming. Research and test of on-line automatic detection method for wheel tread abrasions[J]. Rolling Stock, 1995, 33(2): 28-31. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDCL502.005.htm
    [27]
    NONG Han-biao, LIN Jian-hui. Continuous measurement method for wheel /rail vertical force based on strain of rail[J]. Instrument Technique and Sensor, 2012(12): 95-98, 102. (in Chinese) doi: 10.3969/j.issn.1002-1841.2012.12.032
    [28]
    LI Jia-lin, LIU Mu-ge, LUO Lin, et al. Application of track load and vehicle state safety monitoring system[J]. Chinese Railways, 1999(10): 35-37, 49. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TLZG199910013.htm
    [29]
    FENG Yi-jie, ZHANG Ge-ming. The new development of the research on the earth surface safety monitoring system of vehicle operation estate[J]. China Railway Science, 2002, 23(3): 138-142. (in Chinese) doi: 10.3321/j.issn:1001-4632.2002.03.028
    [30]
    PAN Zhen, FENG Yi-jie. Analysis on the necessity of setting frame test platform for truck performance detect system (TPDS)[J]. Railway Engineering, 2008, 48(8): 103-105. (in Chinese) doi: 10.3969/j.issn.1003-1995.2008.08.036
    [31]
    LING Lie-peng, LI Xu-wei, CHAI Xue-song, et al. Research and manufacture of ground monitoring system for supervising high speed railway EMU running state[J]. Railway Engineering, 2015, 55(1): 71-75, 83. (in Chinese) doi: 10.3969/j.issn.1003-1995.2015.01.16
    [32]
    ZHOU Zhi-hua, CHEN Shi-fu. Neural network ensemble[J]. Chinese Journal of Computers, 2002, 25(1): 1-8. (in Chinese) doi: 10.3321/j.issn:0254-4164.2002.01.001
    [33]
    LI Yi-fan, LIU Jian-xin, WANG Kai-yun, et al. Wheel/rail force continuous exporting algorithm of instrumented rail[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 36-40. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC201104005.htm
    [34]
    LI Yi-fan, LIN Jian-hui, LIU Jian-xin. Wheel-rail force continuous measurement based on combinational forecast model[J]. Journal of Southwest Jiaotong University, 2012, 47(4): 597-604. (in Chinese) doi: 10.3969/j.issn.0258-2724.2012.04.010
    [35]
    LI Yi-fan. Wheel-rail force continuous measurement method and out-of-round wheel detection and identification[D]. Chengdu: Southwest Jiaotong University, 2013. (in Chinese)
    [36]
    LI Yi-fan, LIN Jian-hui, WANG Kai-yun, et al. Study of wheel-rail force decouple based on instrumented rail[J]. Journal of Mechanical Engineering, 2013, 49(4): 96-101. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201304019.htm
    [37]
    LI Yi-fan, LIN Jian-hui, LIU Jian-xin, et al. Identification method of wheel tread flat[J]. Journal of Vibration and Shock, 2013, 32(22): 21-27. (in Chinese) doi: 10.3969/j.issn.1000-3835.2013.22.004
    [38]
    PARTINGTON W. Wheel impact load monitoring[J]. Process of Instrument Civil Engineering and Transportation, 1993(100): 243-245.
    [39]
    RICHARD J, RILEY J, YU Q, et al. Quantification of loading environment and flexural demand of pre-stressed concrete crossties under shared corridor operating conditions[J]. Transportation Research Record, 2018(10): 136-145.
    [40]
    STRATMAN B, LIU Y, MAHADEVAN S. Structural health monitoring of railroad wheels using wheel impact load detectors[J]. Journal of Failure Analysis and Prevention, 2007, 7(3): 218-225. doi: 10.1007/s11668-007-9043-3
    [41]
    OLEGAS L, STASYS D, STASYS S, et al. Analysis of freight wagon wheel failure detection in Lithuanian railways[J]. Procedia Engineering, 2016(134): 64-71.
    [42]
    PENG Xin-yu, ZENG Jing, WANG Jian-bin, et al. Wayside wheel-rail vertical contact force continuous detecting method and its application[J]. Measurement, 2022(193): 1-13.
    [43]
    CHEN Long, CHOY Y, WANG Tian-gang, et al. Fault detection of wheel in wheel/rail system using kurtosis beamforming method[J]. Structural Health Monitoring, 2020, 19(2): 495-509. doi: 10.1177/1475921719855444
    [44]
    WANG Fang-cheng, CHI Bao-quan. On the on-line automatic detection method of flat wheel[J]. Urban Mass Transit, 2006, 9(1): 31-33. (in Chinese) doi: 10.3969/j.issn.1007-869X.2006.01.010
    [45]
    SAWA M. Research on the present conditions of metro wheel tread damage and sliding mechanism[J]. Foreign Railway Vehicles, 2000, 37(3): 33-37, 39.
    [46]
    THAKKAR N, STEEL J, REUBEN R, et al. Monitoring of rail-wheel interaction using acoustic emission (AE)[J]. Advanced Materials Research, 2006, 13(14): 161-168.
    [47]
    BRACCIALI A, CASCINI G. Detection of corrugation and wheel flats of railway wheels using energy and cep-strum analysis of rail acceleration[J]. Journal of Rail Rapid Transit, 1997(211): 109-116.
    [48]
    BELOTTI V, CRENNA F, MICHELINI R, et al. Wheel-flat diagnostic tool via wavelet transform[J]. Mechanical Systems and Signal Processing, 2006(20): 1953-1966.
    [49]
    LEE M, CHIU W. Determination of railway vertical wheel impact magnitudes: field trials[J]. Structure Health Monitor, 2007(6): 49-65.
    [50]
    SHI Hong-mei, ZHAO Rong, YU Zu-jun, et al. Detection method for wheel flats based on rail vibration responses analysis[J]. Journal of Vibration and Shock, 2016, 35(10): 24-28, 54. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201610004.htm
    [51]
    LIU Xian. Crack and detection method of locomotive's solid rolled steel wheel[J]. Electric Drive for Locomotives, 2009(1): 66-69. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JCDC200901026.htm
    [52]
    CHEN Yong-jiang. Application of flaw detection technology of ultrasonic wave array on the locomotive wheel on-line inspection[J]. Railway Locomotive and Motor Car, 2015(10): 31-33. (in Chinese) doi: 10.3969/j.issn.1003-1820.2015.10.010
    [53]
    REN Ming-zhao, GAO Dong-hai, ZHENG Yun-xian. Image segmentation method in ultrasonic B-scan for railway wheels[J]. Nondestructive Testing, 2017, 39(7): 8-11. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WSJC201707002.htm
    [54]
    WANG Hao, WANG Li, GAO Xiao-rong. Technique of electromagnetic ultrasonic surface wave for wheel flaw detection[J]. China Measurement Technology, 2006, 32(2): 66-70. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SYCS200602020.htm
    [55]
    LI Yi-min. Application of ultrasonic wave in wheel tread inspection in operation[J]. Chinese Railways, 1982(3): 31-32. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TLZG198203007.htm
    [56]
    SALZBURGER H, SCHUNPPMANN M, WANG Li, et al. In-motion ultrasonic testing of the tread of high-speed railway wheels using the inspection system AUROPA Ⅲ[J]. Insight-Non-Destructive Testing and Condition Monitoring, 2009, 51(7): 1-8.
    [57]
    CHEN Ning-ning, TENG Yong-ping, WANG Ke. Research on online ultrasonic testing method of engine wheels[J]. Nondestructive Testing, 2007, 29(7): 402-403, 428. (in Chinese) doi: 10.3969/j.issn.1000-6656.2007.07.013
    [58]
    PENG Chao-yong, WANG Li, GAO Xiao-rong. Research on wheel dynamic detection system based on ultrasonic flaw detection[J]. Chinese Railways, 2010(9): 40-43. (in Chinese) doi: 10.3969/j.issn.1001-683X.2010.09.011
    [59]
    ZHAO Yang, MEI Jin-song, LYU Cen. Research on detection method of locomotive wheels' ultrasonic testing signal[J]. Computer Technology and Development, 2013, 23(2): 211-214. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WJFZ201302055.htm
    [60]
    YANG Ju-ping. Defect recognition algorithm in online ultrasonic inspection for railway freight car wheel[J]. China Railway Science, 2016, 37(5): 102-107. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK201605016.htm
    [61]
    LI Yuan-zhe, SUN Shou-guang, KANG Jian-hong, et al. A new method for automatic detection of locomotive wheelset tread wear[J]. Railway Locomotive and Car, 1998, 18(1): 51-53. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDJC199801011.htm
    [62]
    LI Jing-quan, LIU Ji. Research and experiment of the method for checking and measuring tread flats of wheels automatically[J]. Journal of Tongji University (Natural Science), 2003, 31(4): 473-476. (in Chinese) doi: 10.3321/j.issn:0253-374X.2003.04.021
    [63]
    XU Zhi-jun. Wheels geometric parameters detection method and error analysis[D]. Chengdu: Southwest Jiaotong University, 2017. (in Chinese)
    [64]
    LAN Hong, FANG Zhi-yu. Recent advances in zero-shot learning[J]. Journal of Electronics and Information Technology, 2020, 42(5): 1188-1200. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DZYX202005018.htm
    [65]
    HONDA A. Development of automatic measurement device for wheel tread shape[J]. Foreign Locomotive and Rolling Stock Technology, 1999(2): 43-46.
    [66]
    LU Hu-chuan, LU Yu-bin, YANG Guang. Design and implementation of measuring geometrical size[J]. Journal of Jilin University (Information Science Edition), 2003, 21(5): 58-63. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CCYD2003S1012.htm
    [67]
    REN Hong-wei, LI Sheng. Research on on-line dynamic detection of wheel set based on image[J]. Locomotive and Rolling Stock Technology, 2004(5): 29-31. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JCCL200405012.htm
    [68]
    TIAN Li-li, FANG Zong-de, ZHAO Yong. Locating methods of peeling and flat spots in detection of wheel tread damages of railway wagons[J]. Journal of the China Railway Society, 2009, 31(5): 31-36. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDXB200905005.htm
    [69]
    YANG Xue-rong, ZHANG Xiang-wei, CHENG Si-yuan, et al. Method of physical-based computer vision detection for tread surface flats of wheelsets[J]. Journal of Mechanical Engineering, 2009, 45(5): 214-219. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB200905036.htm
    [70]
    YANG Kai. Research on detecting method of the wheel tread flat and out-of-roundness[D]. Chengdu: Southwest Jiaotong University, 2015. (in Chinese)
    [71]
    LI Zong-yu. ΚΡАΠ-2 wheel tread fault detection device[J]. Foreign Railway Vehicles, 1984(5): 31-33. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWTD198405006.htm
    [72]
    SONG Zhong-ming. ΠΚ contactor technology of repair and maintenance[J]. Foreign Locomotive and Rolling Stock Technology, 2018(6): 22-26, 30. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWJQ201806006.htm
    [73]
    RAN Mao-sheng. Research and actuality of axle detector[J]. Chinese Railways, 1982(8): 32-36. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TLZG198208007.htm
    [74]
    FAN Ting. Simulation research on axle mapping and monitoring[D]. Chengdu: Southwest Jiaotong University, 2014. (in Chinese)
    [75]
    BRIZUELA J, FRITSCH C, IBANEZ A. Railway wheel-flat detection and measurement by ultra-sound[J]. Transportation Research Part C: Emerging Technologies, 2011, 19(6): 975-984.
    [76]
    MOSLEH A, MONTENEGRO P, ALVES COSTA P, et al. An approach for wheel flat detection of railway train wheels using envelope spectrum analysis[J]. Structure and Infrastructure Engineering, 2021, 17(12): 1710-1729.
    [77]
    BRIZUELA J, ALBERTO I, PATRICIA N, et al. Railway wheel-flat detector using Doppler effect[J]. Physics Procedia, 2010(3): 811-817.
    [78]
    BRIZUELA J, ALBERTO I, FRITSCH C. NDE system for railway wheel inspection in a standard FPGA[J]. Journal of Systems Architecture, 2010(56): 616-622.
    [79]
    ALEMI A, CORMAN F, LODEWIJKS G. Condition monitoring approaches for the detection of railway wheel defects[J]. Journal of Rail Rapid Transit, 2016, 231(8): 961-981.
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