reviewTop 1% cited
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Mechanical Systems and Signal Processing · 2012 · Vol. 35(1-2) · pp. 108–126
Yaguo Lei✉(Xi'an Jiaotong University)Jing Lin(Xi'an Jiaotong University)Zhengjia He(Xi'an Jiaotong University)Ming J. Zuo(University of Alberta)
Machine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityGear and Bearing Dynamics AnalysisHilbert–Huang transformFault (geology)Signal processingEngineeringSIGNAL (programming language)Mode (computer interface)Computer scienceControl engineeringArtificial intelligenceReliability engineering
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References
An improved Hilbert–Huang transform and its application in vibration signal analysis
Journal of Sound and Vibration · 2004 · 459 citations
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Renewable Energy · 2011 · 518 citations
A roller bearing fault diagnosis method based on EMD energy entropy and ANN
Journal of Sound and Vibration · 2005 · 554 citations
Application of an improved kurtogram method for fault diagnosis of rolling element bearings
Mechanical Systems and Signal Processing · 2011 · 478 citations
Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform
Mechanical Systems and Signal Processing · 2006 · 568 citations
Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
Mechanical Systems and Signal Processing · 2011 · 492 citations
Application of the EEMD method to rotor fault diagnosis of rotating machinery
Mechanical Systems and Signal Processing · 2008 · 576 citations
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
Mechanical Systems and Signal Processing · 2003 · 1,148 citations
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