Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis

Mechanical Systems and Signal Processing

Volumn 72-73, Issue , 2016, Pages 223-240

  Feng, Zhipeng ^a   Lin, Xuefeng ^a   Zuo, Ming J ^b,c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Amplitude demodulation; Fault diagnosis; Frequency demodulation; Intrinsic time scale decomposition; Planetary gearbox

Indexed keywords

DEMODULATION; FAILURE ANALYSIS; FOURIER TRANSFORMS; GEARS; MODULATION; NUMERICAL METHODS; OPTICAL VARIABLES MEASUREMENT; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; TIME MEASUREMENT;

AMPLITUDE DEMODULATION; FOURIER TRANSFORMATIONS; FREQUENCY DEMODULATION; INSTANTANEOUS AMPLITUDE; INSTANTANEOUS FREQUENCY; INTRINSIC TIME-SCALE DECOMPOSITIONS; LOW COMPUTATIONAL COMPLEXITY; PLANETARY GEARBOXES;

FAULT DETECTION;

EID: 84955669465     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.11.024     Document Type: Article

References (19)

1. P.D. Samuel, and D.J. Pines A review of vibration-based techniques for helicopter transmission diagnostics J. Sound Vib. 282 2005 475 508
2. Y. Lei, J. Lin, M.J. Zuo, and Z. He Condition monitoring and fault diagnosis of planetary gearboxes: a review Measurement 48 2014 292 305
3. Y. Lei, D. Han, and J. Lin Planetary gearbox fault diagnosis using an adaptive stochastic resonance method Mech. Syst. Signal Process. 38 2013 113 124
4. W. Bartelmus, and R. Zimroz Vibration condition monitoring of planetary gearbox under varying external load Mech. Syst. Signal Process. 23 2009 246 257
5. P.D. McFadden A technique for calculating the time domain averages of the vibration of the individual planet gears and the sun gear in an epicyclic gearbox J. Sound Vib. 144 1 1991 163 172
6. P.D. McFadden Window functions for the calculation of the time domain averages of the vibration of the individual planet gears and sun gear in an epicyclic gearbox J. Vib. Acoust. 116 2 1994 179 187
7. P.D. Samuel, and D.J. Pines Vibration separation methodology for planetary gear health monitoring Proc. SPIE 3985 250 2000 250 260
8. T. Barszcz, and R.B. Randall Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine Mech. Syst. Signal Process. 23 2009 1352 1365
9. B. Zhang, T. Khawaja, R. Patrick, and et al. Blind deconvolution denoising for helicopter vibration signals IEEE/ASME Trans. Mechatron. 13 5 2008 558 565
10. J. Chen, C. Zhang, X. Zhang, Y. Zi, S. He, and Z. Yang Planetary gearbox condition monitoring of ship-based satellite communication antennas using ensemble multiwavelet analysis method Mech. Syst. Signal Process. 54-55 2015 277 292
11. Z. Feng, and M.J. Zuo Vibration signal models for fault diagnosis of planetary gearboxes J. Sound Vib. 331 2012 4919 4939
12. Z. Feng, M.J. Zuo, J. Qu, T. Tian, and Z. Liu Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes Mech. Syst. Signal Process. 40 2013 56 75
13. Z. Feng, M. Liang, and Y. Zhang Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation Renew. Energy 47 2012 112 126
14. Z. Feng, X. Chen, and M. Liang Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions Mech. Syst. Signal Process. 52-53 2015 360 375
15. Z. Feng, X. Chen, M. Liang, and F. Ma Time-frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions Mech. Syst. Signal Process. 62-63 2015 54 74
16. M.G. Frei, and I. Osorio Intrinsic time-scale decomposition: time-frequency-energy analysis and real-time filtering of non-stationary signals Proc. R. Soc. Lond., Ser. A 463 2007 321 342
17. X. An, D. Jiang, J. Chen, and C. Liu Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing J. Vib. Control 18 2 2012 240 245
18. X. An, and D. Jiang Bearing fault diagnosis of wind turbine based on intrinsic time-scale decomposition frequency spectrum Proc. Inst. Mech. Eng. Part O - J. Risk Reliab. 228 6 2014 558 566
19. A. Hu, X. Yan, and L. Xiang A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension Renew. Energy 83 2015 767 778