Peter W. Tse
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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
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
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
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
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
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
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
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
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
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
Prediction of machine deterioration using vibration based fault trends and recurrent neural networks
PW Tse, DP Atherton
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
Use of autocorrelation of wavelet coefficients for fault diagnosis
J Rafiee, PW Tse
Mechanical Systems and Signal Processing 23 (5), 1554-1572, 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
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
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
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
Anomaly detection through a bayesian support vector machine
VA Sotiris, WT Peter, MG Pecht
IEEE Transactions on Reliability 59 (2), 277-286, 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
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
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