Fault diagnosis for gear train of locomotive diesel engine based on empirical mode decomposition and laplace wavelet

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 47, Issue 7, 2011, Pages 109-115

  Yang, Jiangtian ^a   Zhou, Peiyu ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b Beijing Railway Bureau   (China)

Author keywords

Empirical mode decomposition; Fault diagnosis; Gear; Laplace wavelet; Rolling bearing

Indexed keywords

ACOUSTIC SIGNAL ANALYSIS; ACOUSTIC SIGNALS; BACKGROUND NOISE; CHARACTERISTIC FREQUENCIES; CORRELATION FILTERING; DEFECT FREQUENCY; EMPIRICAL MODE DECOMPOSITION; ENGINE VALVES; FAULT DIAGNOSIS; FREQUENCY COMPONENTS; GEAR FAULTS; GEAR TRAIN; INTRINSIC MODE FUNCTIONS; LAPLACE WAVELET; LOCOMOTIVE DIESEL ENGINES; LOW ENERGIES; NONSTATIONARY; OPERATION TESTS; REAL SIGNALS; ROLLING BEARING; SIGNAL DENOISING; VALVE GEAR;

ACOUSTIC NOISE; ADAPTIVE FILTERS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DIESEL LOCOMOTIVES; ENGINES; FILTER BANKS; LAPLACE TRANSFORMS; SIGNAL ANALYSIS; SPECTRUM ANALYSIS; WAVELET DECOMPOSITION;

DIESEL ENGINES;

EID: 79956219670     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2011.07.109     Document Type: Article

References (15)

1. YU Pengfei, CHEN Yu. Analysis and countermeasures of troubles with diesel engine gear train for DF4 locomotive[J]. Diesel Locomotive, 2009(5): 43-45.
2. GUO Yin, YU Zhaoxin. Technical measure of 240/275 seriation diesel engine transmission mechanism intermediate gear failure[J]. Railway Locomotive & CAR, 2008, 28(1): 54-57.
3. CHENG Lijun, ZHANG Yingtang, LUO Liang, et al. Signal processing method and fault diagnosis for cylinder head noise of an engine[J]. Journal of Vibration and Shock, 2009, 28(4): 173-176.
4. ZANG Yuping, ZHANG Dejiang, WANG Weizheng. Fault diagnosis of engine abnormal sound based on wavelet transform technique[J]. Journal of Mechanical Engineering, 2009, 45(6): 239-245.
5. QI Keyu, XIANG Jiawei, ZI Yanyang, et al. High precision modal parameter identification based on Laplace wavelet correlation filtering[J]. Chinese Journal of Mechanical Engineering, 2007, 43(9): 167-172.
6. AL-RAHEEM K F, ROY A, RAMACHANDRAN K P, et al. Application of the Laplace wavelet combined with ANN for rolling bearing fault diagnosis[J]. Journal of Vibration and Acoustics, Transactions of the ASME, 2008, 130(5): 051007-1-9.
7. HE Zhengjia, ZI Yanyang, MENG Qingfeng, et al. Fault diagnosis principle of non-stationary signal and application to mechanical equipment[M]. Beijing: Higher Education Press, 2001.
8. HUANG N E, SHEN Z, LONG S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Froc. R. Soc. Lond. A, 1998, 454: 903-995.
9. YU Dejie, CHENG Junsheng, YANG Yu. Application of Hilbert-Huang transform method to gear fault diagnosis[J]. Chinese Journal of Mechanical Engineering, 2005, 41(6): 102-107.
10. LI Hui, ZHENG Haiqi, TANG Liwei. Application acoustic emission and empirical mode decomposition to faults diagnosis of bearing[J]. Proceedings of the CSEE, 2006, 26(15): 124-128.
11. YAN Ruqiang, GAO R. Hilbert-Huang transform based vibration signal analysis for machine health monitoring[J]. IEEE Transactions on Instrumentation and Measurement, 2006, 55(6): 2320-2329.
12. ZHONG Youming, QIN Shuren. Research on the uniform theoretical basis for Hilbert-Huang transform(HHT)[J]. Journal of Vibration and Shock, 2006, 25(3): 40-43.
13. XU Xiaogang, XU Guanlei, WANG Xiaotong, et al. Empirical mode decomposition and its application[J]. Acta Electronica Sinica, 2009, 37(3): 581-585.
14. FLANDRIN P, RILLING G, GONCALVES P. Empirical mode decomposition as a filter bank[J]. IEEE Signal Processing Letters, 2004, 11(2): 112-114.
15. YU Dejie, CHENG Junsheng, YANG Yu. Application of Hilbert-Huang transform method to machinery fault diagnosis[M]. Beijing: Science Press, 2006.