Zhongxiao Peng
Zitiert von
Zitiert von
An integrated approach to fault diagnosis of machinery using wear debris and vibration analysis
Z Peng, N Kessissoglou
Wear 255 (7-12), 1221-1232, 2003
Expert system development for vibration analysis in machine condition monitoring
S Ebersbach, Z Peng
Expert systems with applications 34 (1), 291-299, 2008
A study of the effect of contaminant particles in lubricants using wear debris and vibration condition monitoring techniques
Z Peng, NJ Kessissoglou, M Cox
Wear 258 (11-12), 1651-1662, 2005
The investigation of the condition and faults of a spur gearbox using vibration and wear debris analysis techniques
S Ebersbach, Z Peng, NJ Kessissoglou
Wear 260 (1-2), 16-24, 2006
Virtual prototype and experimental research on gear multi-fault diagnosis using wavelet-autoregressive model and principal component analysis method
Z Li, X Yan, C Yuan, Z Peng, L Li
Mechanical Systems and Signal Processing 25 (7), 2589-2607, 2011
The use of the fractal description to characterize engineering surfaces and wear particles
CQ Yuan, J Li, XP Yan, Z Peng
Wear 255 (1-6), 315-326, 2003
Blind vibration component separation and nonlinear feature extraction applied to the nonstationary vibration signals for the gearbox multi-fault diagnosis
Z Li, X Yan, Z Tian, C Yuan, Z Peng, L Li
Measurement 46 (1), 259-271, 2013
An RFID-based remote monitoring system for enterprise internal production management
S Zhou, W Ling, Z Peng
The International Journal of Advanced Manufacturing Technology 33 (7), 837-844, 2007
Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations
Z Li, Y Jiang, Q Guo, C Hu, Z Peng
Renewable Energy 116, 55-73, 2018
Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review
Z Li, Y Jiang, C Hu, Z Peng
Measurement 90, 4-19, 2016
Wear particle classification in a fuzzy grey system
Z Peng, TB Kirk
Wear 225, 1238-1247, 1999
Wear performance of UHMWPE and reinforced UHMWPE composites in arthroplasty applications: a review
JC Baena, J Wu, Z Peng
Lubricants 3 (2), 413-436, 2015
Development of a gear vibration indicator and its application in gear wear monitoring
C Hu, WA Smith, RB Randall, Z Peng
Mechanical Systems and Signal Processing 76, 319-336, 2016
Biomimetic characterisation of key surface parameters for the development of fouling resistant materials
AJ Scardino, D Hudleston, Z Peng, NA Paul, R De Nys
Biofouling 25 (1), 83-93, 2009
Progress and trend of sensor technology for on-line oil monitoring
TH Wu, HK Wu, Y Du, ZX Peng
Science China Technological Sciences 56 (12), 2914-2926, 2013
Surface roughness evolutions in sliding wear process
CQ Yuan, Z Peng, XP Yan, XC Zhou
Wear 265 (3-4), 341-348, 2008
Computer image analysis of wear particles in three-dimensions for machine condition monitoring
Z Peng, TB Kirk
Wear 223 (1-2), 157-166, 1998
Fault detection and diagnosis of a gearbox in marine propulsion systems using bispectrum analysis and artificial neural networks
Z Li, X Yan, C Yuan, J Zhao, Z Peng
Journal of Marine Science and Application 10 (1), 17-24, 2011
Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference
WA Smith, Z Fan, Z Peng, H Li, RB Randall
Mechanical Systems and Signal Processing 75, 371-394, 2016
Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features
T Wu, H Wu, Y Du, N Kwok, Z Peng
Wear 316 (1-2), 19-29, 2014
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