A new method for detection of rolling bearing faults based on the Local Curve Roughness approach

Zaretski E. V., Poplawski J. V., and Miller C. R.: Rolling Bearing Life Prediction - Past, Present, and Future. NASA, NASA/TM-2000-210529, 2000Search in Google Scholar

Tandon N. and Choudhury A.: A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribology International, Vol. 32, No. 32, 1999, pp. 469-480.10.1016/S0301-679X(99)00077-8Search in Google Scholar

Tandon N. and Nakra B. C.: Vibration and acoustic monitoring techniques for the detection of defects in rolling element bearings - a review. Shock and Vibration Digest, Vol. 24, No. 3, 1992, pp. 3-11.10.1177/058310249202400303Search in Google Scholar

Taylor J. I.: Identification of bearing defects by spectral analysis. Trans. ASME, Journal of Mechanical Design, Vol. 102, 1980, pp. 199-204.10.1115/1.3254730Search in Google Scholar

Berry J. E.: How to track rolling element bearing health with vibration signature analysis. S V, Sound and Vibration, Vol. 25, No. 11, 1991, pp. 24-35.Search in Google Scholar

McFadden P. D. and Smith J. D.: Vibration monitoring of rolling element bearings by the high frequency resonance technique-a review. Tribology International, Vol. 17, No. 1, 1984, pp. 3-10.10.1016/0301-679X(84)90076-8Search in Google Scholar

Dyer D. and Stewart R. M.: Detection of rolling element bearing damage by statistical vibration analysis. Trans. ASME, Journal of Mechanical Design, Vol. 100, No. 2, 1978, pp. 229-235.10.1115/1.3453905Search in Google Scholar

Antoni J.: The spectral kurtosis: a useful tool for characterizing non-stationary signals. Mechanical Systems and Signal Processing, Vol. 20, No. 2, 2006, pp. 282-307.10.1016/j.ymssp.2004.09.001Search in Google Scholar

Bolaers F., Cousinard O., Marconnet P., and Rasolofondraibe L.: Advanced detection of rolling bearing spalling from de-noising vibratory signals. Control Engineering Practice, Vol. 12, No. 2, 2004, pp. 181-190.10.1016/S0967-0661(03)00048-0Search in Google Scholar

Dron J. P., Bolaers F., and Rasolofondraibe L.: Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings. Journal of Sound and Vibration, Vol. 270, No. 1-2, 2004, pp. 61-73.10.1016/S0022-460X(03)00483-8Search in Google Scholar

The shock pulse method for determining the condition of antifriction bearings. SPM Instruments AB, 1980Search in Google Scholar

Butler D. E.: The shock pulse method for the detection of damaged rolling bearings. NDT International, Vol. 6, No. 2, 1973, pp. 92-95.10.1016/0029-1021(73)90116-3Search in Google Scholar

McFadden P. D. and Toozhy M. M.: Application of synchronous averaging to vibration monitoring of rolling element bearings. Mechanical Systems and Signal Processing, Vol. 14, No. 6, 2000, pp. 891-906.10.1006/mssp.2000.1290Search in Google Scholar

Junsheng C., Dejie Y., and Yu Y.: Application of an impulse response wavelet to fault diagnosis of rolling bearings. Mechanical Systems and Signal Processing, Vol. 21, 2007, pp. 920-929.10.1016/j.ymssp.2005.09.014Search in Google Scholar

Li C. J. and Ma J.: Wavelet Decomposition of Vibrations for Detection of Bearing-Localized Defects. NDT & E International, Vol. 30, 1997, pp. 143-149.10.1016/S0963-8695(96)00052-7Search in Google Scholar

Mori K., Kasashima N., Yoshika T., and Ueno Y.: Prediction of Spalling on Ball Bearing by Applying the Discrete Wavelet Transform to Vibration Signals. Wear, Vol. 195, 1996, pp. 162-168.10.1016/0043-1648(95)06817-1Search in Google Scholar

Ocak H., Loparo K. A., and Discenzo F. M.: Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics. Journal of Sound and Vibration, Vol. 302, 2007, pp. 951-961.10.1016/j.jsv.2007.01.001Search in Google Scholar

Purushotham V., Narayanan S., Suryanarayana and Prasad A. N.: Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition. NDT & E International, Vol. 38, 2005, pp. 654-664.10.1016/j.ndteint.2005.04.003Search in Google Scholar

Rubini R. and Meneghetti U.: Application of the Envelope and Wavelet Transform Analyses for the Diagnosis of Incipient Faults in Ball Bearings. Mechanical Systems and Signal Processing, Vol. 15, No. 2, 2001, pp. 287-302.10.1006/mssp.2000.1330Search in Google Scholar

Tse P. W., Peng Y. H., and Yam R.: Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault Diagnosis - Their Effectiveness and Flexibilities. Trans ASME, Journal of Vibration and Acoustics, Vol. 123, 2001, pp. 303-310.10.1115/1.1379745Search in Google Scholar

Yang D. M., Stronach A. F., and McConnel P.: Third-Order Spectral Techniques for Diagnosis of Motor Bearing Condition Using Artificial Neural Networks. Mechanical Systems and Signal Processing, Vol. 16, No. 2-3, 2002, pp. 391-411.10.1006/mssp.2001.1469Search in Google Scholar

Antoni J.: Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions. Journal of Sound and Vibration, Vol. 304, 2007, pp. 497-529.10.1016/j.jsv.2007.02.029Search in Google Scholar

Du Q. and Yang S: Application of the EMD method in the vibration analysis of ball bearings. Mechanical Systems and Signal Processing, Vol. 21, No. 6, 2007, pp. 2634-2644.10.1016/j.ymssp.2007.01.006Search in Google Scholar

Junsheng C., Dejie Y., and Yu Y.: A fault diagnosis approach for roller bearings based on EMD method and AR model. Mechanical Systems and Signal Processing, Vol. 20, No. 2, 2006, pp. 350-362.10.1016/j.ymssp.2004.11.002Search in Google Scholar

Behzad M., Bastami A.R.: Concept of Roughness of Vibration in Rolling Bearings Diagnosis. Proceedings of ISMA Conference, Lueven, 2008Search in Google Scholar

Sunnersjo C. S.: Varying compliance vibrations of rolling bearings. Journal of Sound and Vibration, Vol. 58, No. 3, 1978, pp. 363-373.10.1016/S0022-460X(78)80044-3Search in Google Scholar

McFadden P. D. and Smith J. D.: Model for the vibration produced by a single point defect in a rolling element bearing. Journal of Sound and Vibration, Vol. 96, No. 1, 1984, pp. 69-82.10.1016/0022-460X(84)90595-9Search in Google Scholar

C. M. Harris and A. G. Piersol: Shock and Vibration Handbook. McGraw-Hill, 5^th Ed. 2002Search in Google Scholar

M. Behzad, A. R. Bastami, D. Mba: A New Model for Estimating Vibrations Generated in the Defective Rolling Element Bearings, ASME Journal of vib & Acoustics, Vol. 133, Aug 2011, pp. 041011-1 to 810.1115/1.4003595Search in Google Scholar