UM
Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery
Wang, Xian-Bo; Yang, Zhi-Xin; Yan, Xiao-An
2018-02
Source PublicationIEEE-ASME TRANSACTIONS ON MECHATRONICS
ISSN1083-4435
Volume23Issue:1Pages:68-79
AbstractThe vibration signals of faulty rotating machinery are typically nonstationary, nonlinear, and mixed with abundant compounded background noise. To extract the potential excitations from the observed rotating machinery, signal demodulation and time-frequency analysis are indispensable. This work proposes a novel particle swarm optimization-based variational mode decomposition method, which adopts the minimummean envelope entropy to optimize the parameters (alpha and K) in the existing variational mode decomposition. The proposed fault-detection framework separated the observed vibration signals into a series of intrinsic modes. A certain number of the intrinsic modes are then selected by means of the Hilbert transform-based square envelope spectral kurtosis. Subsequently, in this study, the feature representations were reconstructed via the selected intrinsic modes; then, the envelope spectra of the real faulty conditions were generated in the rotating machinery. To verify the performance of the proposed method, a testbed platform of a gearbox with a combination of different faults was implemented. The experimental results demonstrated that the proposed method represented the patterns of the fault frequency more explicitly than the available empirical mode decomposition, the local mean decomposition, and the wavelet package transform method.
KeywordComplex rotating machinery fault diagnosis particle swarm optimization (PSO) signal processing variational mode decomposition (VMD)
DOI10.1109/TMECH.2017.2787686
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Engineering, Mechanical
WOS IDWOS:000425673100008
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
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Cited Times [WOS]:14   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Wang, Xian-Bo,Yang, Zhi-Xin,Yan, Xiao-An. Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2018,23(1):68-79.
APA Wang, Xian-Bo,Yang, Zhi-Xin,&Yan, Xiao-An.(2018).Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery.IEEE-ASME TRANSACTIONS ON MECHATRONICS,23(1),68-79.
MLA Wang, Xian-Bo,et al."Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery".IEEE-ASME TRANSACTIONS ON MECHATRONICS 23.1(2018):68-79.
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