航空发动机转子碰摩故障信号广义S变换方法

张志禹; 吕延军; 张九龙

航空发动机转子碰摩故障信号广义S变换方法

1.
西安理工大学自动化与信息工程学院, 陕西西安 710048
2.
西安理工大学机械与精密仪器工程学院, 陕西西安 710048
3.
西安理工大学计算机科学与工程学院, 陕西西安 710048

基金项目:

国家自然科学基金项目 50635060

国家“863”计划项目 2006AAOAAl02

详细信息

作者简介:
张志禹(1966-), 男, 山西朔州人, 西安理工大学教授, 工学博士, 从事发动机故障诊断研究

中图分类号: V23
计量
- 文章访问数: 326
- HTML全文浏览量: 124
- PDF下载量: 400
- 被引次数: 0
出版历程
- 收稿日期: 2007-02-15
- 刊出日期: 2007-06-25

Generalized S-transform method of rotor impact-rub fault signal of aeroengine

1.
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, Shaanxi, China
2.
School of Mechanical and Instrumental Engineering, Xi'an University of Technology, Xi'an 710048, Shaanxi, China
3.
School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, Shaanxi, China

More Information

Author Bio:
Zhang Zhi-yu(1966-), male, EngD, professor, +86-29-82312461-203, zhangzhiyu@xaut.edu.cn

摘要

摘要: 为了有效提取航空发动机转子碰摩故障信号, 提高碰摩故障诊断的准确性, 采用广义S变换方法, 把碰摩信号变换到相空间中, 在相空间检测和提取故障特征, 并与连续小波变换的结果进行了比较。变换分析结果表明: 在广义S变换域可以更清楚地反映出信号的时频局域化特性和奇异点位置, 易于检测出碰摩点的位置, 广义S变换有较好的抗干扰能力, 在变换域易于信号与噪声的分离。
- 航空发动机 /
- 故障诊断 /
- 广义S变换 /
- 小波变换 /
- 转锭碰摩
Abstract: In order to effectively pick out the impact-rub fault signal of aeroengine rotor, improve fault diagnosis veracity, the impact-rub signal was transformed to phase space by using generalized S-transform, the features of fault signal were detected in phase space, and the results obtained by using generalized S-transform(GST) and continuous wavelet transform(CWT) were compared. Comparison result shows that the time-frequency localization characteristics and singular points of impact-rub signal are more distinct in GST domain than in CWT domain, the impact-rub points are easier to be detected, GST has strong capability in noise reduction, and the separation of signal and noise is also available in GST domain.
- aeroengine /
- fault diagnosis /
- generalized S-transform /
- wavelet transform /
- rotor-to-stator impact-rub

HTML全文

图 1 碰摩信号的径向振动分量

Figure 1. Radial displacement of impact-rub signal

下载: 全尺寸图片幻灯片

图 2 碰摩信号的广义S变换

Figure 2. Generalized S-transform of impact-rub signal

下载: 全尺寸图片幻灯片

图 3 碰摩信号分解结果

Figure 3. Decomposing result of impact-rub signal

下载: 全尺寸图片幻灯片

图 4 含噪碰摩信号的径向振动分量

Figure 4. Radial displacement of noisy impact-rub signal

下载: 全尺寸图片幻灯片

图 5 含噪碰摩信号的广义S变换

Figure 5. Generalized S-transform of noisy impact-rub signal

下载: 全尺寸图片幻灯片

图 6 含噪碰摩信号的连续小波变换

Figure 6. Continuous wavelet transform of noisy impact-rub signal

下载: 全尺寸图片幻灯片

参考文献(7)

[1]	Bachschmid N, Pennacchi P, Vania A. Identification of multiple faults in rotor systems[J]. Journal of Sound and Vibration, 2002, 254(2): 327-366. doi: 10.1006/jsvi.2001.4116
[2]	Peng Zhi-ke, He Yong-yong, Lu Qing, et al. Feature extraction of the rub-impact rotor systems by means of wavelet analysis[J]. Journal of Sound and Vibration, 2003, 259(4): 1 000-1 010. doi: 10.1006/jsvi.2002.5376
[3]	Lin Jing, Qu Liang-sheng. Feature extraction based on morlet wavelet andits application for mechanical fault diagnosis[J]. Journal of Sound and Vibration, 2000, 234(1): 135-147. doi: 10.1006/jsvi.2000.2864
[4]	Portnyagin YI, Merzlyakov E G, Jacobi C H, et al. Some results of S-transform analysis of the transient planetary-scale wind oscillations in the lower thermosphere[J]. Earth Planets Space, 1999, 51(4): 711-717.
[5]	占勇, 程浩忠, 丁屹峰, 等. 基于S变换的电能质量扰动支持向量机分类识别[J]. 中国电机工程学报, 2005, 25(4): 51-56. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDC200504009.htm Zhan Yong, Cheng Hao-zhong, Ding Yi-feng, et al. S-transformbased classification of power quality disturbance signals by support vector machines[J]. Proceedings of the Chinese Societyfor Electrical Engineering, 2005, 25(4): 51-56. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDC200504009.htm
[6]	高静怀, 陈文超, 李幼铭, 等. 广义S变换与薄互层地震响应[J]. 地球物理学报, 2003, 46(4): 526-532. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200304014.htm Gao Jing-huai, Chen Wen-chao, Li You-ming, et al. Generalized S-transformation and seismic response analysis of thin interbeds[J]. Chinese Journal of Geophysics, 2003, 46(4): 526-532. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200304014.htm
[7]	高静怀, 满蔚仕, 陈树民. 广义S变换域有色噪声与信号识别方法[J]. 地球物理学报, 2004, 47(5): 869-875. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200405018.htm Gao Jing-huai, Man Wei-shi, Chen Shu-min. Recognition of signals from colored noise background in generalized S-transformation domain[J]. Chinese Journal of Geophysics, 2004, 47(5): 869-875. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200405018.htm