Open Access
Issue
Mechanics & Industry
Volume 15, Number 6, 2014
Page(s) 487 - 495
DOI https://doi.org/10.1051/meca/2014062
Published online 16 September 2014
  1. I. Yesilyurt, Fault detection and location in gears by the smoothed instantaneous power spectrum distribution, NDT&E International 36 (2003) 535–542 [CrossRef] [Google Scholar]
  2. Zhang Qing-feng, Tang Li-wei, Cui Xiu-mei, Hou Cai-hong, Detection of Gear Fault Based on Amplitude Demodulation of Rotary Speed, The First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA2010), Harbin Institute of Technology, China, 2010 [Google Scholar]
  3. M. El Badaoui, V. Cahouet, F. Guillet, J. Danière, P. Velex, Modelling and detection of localized tooth defects in geared systems, ASME J. Mech. Design 123 (2001) 422–430 [CrossRef] [Google Scholar]
  4. M.S. Safizadeh, A.A. Lakis, M. Thomas, Time-Frequency and Their Application to Machinery Fault Detection, Int. J. COMADEM 5 (2002) 41–57 [Google Scholar]
  5. T. Kidar, M. Thomas, M. Elbadaoui, Raynald Guilbault, Application of Time Descriptors to the Modified Hilbert Transform of Empirical Mode Decomposition for Early Detection of Gear Defects, Proceedings of conference on Condition Monitoring of Machinery in Non-Stationary Operations, 2012, pp. 471–479 [Google Scholar]
  6. T. Kidar, M. Thomas, Raynald Guilbault and Mohamed El Badaoui, Comparison between the sensitivity of LMD and EMD algorithms for early detection of gear defects, 3rd Symposium on Experimental Vibration Analysis (AVE), Blois, France, 2012, 8 p. [Google Scholar]
  7. R. Bond Randall, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications, John Wiley & Sons, 2011, ISBN: 978-0-470-74785-8 [Google Scholar]
  8. Chun-Chieh Wang, Yuan Kang, Feature Extraction Techniques of Non-Stationary Signals for Fault Diagnosis in Machinery Systems, J. Signal Inform. Process. 3 (2012) 16–25 [CrossRef] [Google Scholar]
  9. M. Thomas, A.A. Lakis, Detection of breathing crack by time-frequency analysis, 30th Computer and Industrial Engineering (CIE) conference, Tinos, Greece, 2, 2002, pp. 905–910 [Google Scholar]
  10. M. Haardt, J.A. Nossek, Unitary ESPRIT: How to Obtain Increased Estimation Accuracy with a Reduced Computational Burden, IEEE Trans. Signal Process. 43 (1995) [Google Scholar]
  11. D. Gabor, Theory of Communication, J. IEE 93 (1946) 429–457 [Google Scholar]
  12. P.D. McFadden, Detecting Fatigue Cracks in Gears by Amplitude and Phase Demodulation of the Meshing Vibration, J. Vib. Acoust. 108 (1986) 165–170 [CrossRef] [Google Scholar]
  13. Zaigang Chen, Yimin Shao, Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth, Eng. Fail. Anal. 18 (2011) 2149–2164 [CrossRef] [Google Scholar]
  14. A. Ouahabi, M. Thomas, A.A Lakis, Detection of damage in beams and composite plates by harmonic excitation and time-frequency analysis, Proceedings of the 3rd European Workshop on Structural Health Monitoring, Granada, Spain, 2006, pp. 775–782 [Google Scholar]
  15. D. Palaisi, R. Guilbault, M. Thomas, A. Lakis, N. Mureithi, Numerical simulation of vibratory behavior of damaged gearbox (in French), Proceedings of the 27th Seminar on machinery vibration, Canadian Machinery Vibration Association, Vancouver, CB, 2009, 16 p. [Google Scholar]
  16. Torsten Söderström, and Petre Stoica, System Identification, Prentice Hall, 1989 [Google Scholar]
  17. M. Bengtsson, B. Ottersten, A generalization of weighted subspace fitting to full-rank models, IEEE Trans. Signal Process. 49 (2001) 1002–1012 [CrossRef] [Google Scholar]
  18. H.-S. Song, K. Nam, Instantaneous phase-angle estimation algorithm under unbalanced voltage-sag conditions, IEE Proc. Generation, Transmission, and Distribution, 147 (2000) 409–415 [Google Scholar]
  19. J. Tuma, Phase demodulation of impulse signals in machine shaft angular vibration measurements, Tenth International Congress on Sound and Vibration, Stockholm, Sweden, 2003, pp. 5005–5012 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.