A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing ZK Peng, WT Peter, FL Chu Mechanical systems and signal processing 19 (5), 974-988, 2005 | 1036 | 2005 |
An improved Hilbert–Huang transform and its application in vibration signal analysis ZK Peng, WT Peter, FL Chu Journal of sound and vibration 286 (1-2), 187-205, 2005 | 712 | 2005 |
Intelligent predictive decision support system for condition-based maintenance RCM Yam, PW Tse, L Li, P Tu The International Journal of Advanced Manufacturing Technology 17, 383-391, 2001 | 691 | 2001 |
TiO2 Nanotube Surfaces: 15 nm—An Optimal Length Scale of Surface Topography for Cell Adhesion and Differentiation J Park, S Bauer, KA Schlegel, FW Neukam, K von der Mark, P Schmuki small 5 (6), 666-671, 2009 | 648 | 2009 |
Wavelet analysis and envelope detection for rolling element bearing fault diagnosis—their effectiveness and flexibilities PW Tse, YH Peng, R Yam J. Vib. Acoust. 123 (3), 303-310, 2001 | 619 | 2001 |
An enhanced Kurtogram method for fault diagnosis of rolling element bearings D Wang, WT Peter, KL Tsui Mechanical Systems and Signal Processing 35 (1-2), 176-199, 2013 | 456 | 2013 |
Application of mother wavelet functions for automatic gear and bearing fault diagnosis J Rafiee, MA Rafiee, PW Tse Expert systems with applications 37 (6), 4568-4579, 2010 | 380 | 2010 |
Machine fault diagnosis through an effective exact wavelet analysis WT Peter, W Yang, HY Tam Journal of sound and vibration 277 (4-5), 1005-1024, 2004 | 306 | 2004 |
Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier C Shen, D Wang, F Kong, WT Peter Measurement 46 (4), 1551-1564, 2013 | 282 | 2013 |
A novel technique for selecting mother wavelet function using an intelli gent fault diagnosis system J Rafiee, PW Tse, A Harifi, MH Sadeghi Expert Systems with Applications 36 (3), 4862-4875, 2009 | 272 | 2009 |
Prediction of machine deterioration using vibration based fault trends and recurrent neural networks PW Tse, DP Atherton | 260 | 1999 |
The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault … WT Peter, D Wang Mechanical Systems and Signal Processing 40 (2), 499-519, 2013 | 237 | 2013 |
Use of autocorrelation of wavelet coefficients for fault diagnosis J Rafiee, PW Tse Mechanical Systems and Signal Processing 23 (5), 1554-1572, 2009 | 192 | 2009 |
A novel signal compression method based on optimal ensemble empirical mode decomposition for bearing vibration signals W Guo, WT Peter Journal of sound and vibration 332 (2), 423-441, 2013 | 181 | 2013 |
Development of an advanced noise reduction method for vibration analysis based on singular value decomposition WX Yang, WT Peter Ndt & E International 36 (6), 419-432, 2003 | 178 | 2003 |
Detection of the rubbing-caused impacts for rotor–stator fault diagnosis using reassigned scalogram ZK Peng, FL Chu, WT Peter Mechanical systems and signal processing 19 (2), 391-409, 2005 | 173 | 2005 |
Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition W Guo, WT Peter, A Djordjevich Measurement 45 (5), 1308-1322, 2012 | 164 | 2012 |
Anomaly detection through a bayesian support vector machine VA Sotiris, WT Peter, MG Pecht IEEE Transactions on Reliability 59 (2), 277-286, 2010 | 160 | 2010 |
A comprehensive reliability allocation method for design of CNC lathes Y Wang, RCM Yam, MJ Zuo, P Tse Reliability Engineering & System Safety 72 (3), 247-252, 2001 | 153 | 2001 |
EMD-based fault diagnosis for abnormal clearance between contacting components in a diesel engine Y Li, WT Peter, X Yang, J Yang Mechanical Systems and Signal Processing 24 (1), 193-210, 2010 | 149 | 2010 |