Study on a Motor Bearing Fault Diagnosis Method Using Improved EWT Based on Scale Space Threshold Method
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Huimin Zhao
Abstract
Empirical Wavelet Transform (EWT) is a novel non-stationary signal analysis method that can effectively identify different mode components in signals. However, due to the lack of processing noise and unstable signals caused by the Fourier spectrum adaptive segmentation problem, an improved EWT (FCMEWT) method based on the scale space threshold method and fuzzy C-means is proposed to decompose the vibration signal into an empirical mode with physical meaning. The FCMEWT method firstly scales the spectrum of the original vibration signal, and then uses the fuzzy C-means method to classify the spectrum in order to obtain the spectrum division interval. The vibration signal is decomposed into a set of intrinsic mode functions (IMFs) components, which are performed Hilbert transform for extracting the frequency of each component through the power spectrum. Finally, Pearson correlation coefficient between each IMF component and the original signal is calculated to obtain the correlation coefficient threshold in order to determine the final IMF component. In order to verify the effectiveness of FCMEWT method, the vibration signal motor bearing is selected in this paper. The FCMEWT method is compared with the empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) methods. The results show that the FCMEWT method can effectively solve the problem of Fourier spectrum segmentation in the EWT method, takes on better adaptive segmentation characteristics, and can effectively extract fault feature frequency of motor bearing. The fault diagnosis method can not only effectively extract motor bearing fault characteristics, but also has better diagnosis result than EMD and EEMD methods.
Funding statement: This work was supported by the National Natural Science Foundation of China (51605068, 51475065, 61771087), the Innovative Talents Promotion Plan of Liaoning colleges and Universities (LR2017058), the Open Project Program of the Traction Power State Key Laboratory of Southwest Jiaotong University (TPL1705, TPL1803), the Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (MIMS17–03), the Open Project Program of Sichuan Provincial Key Lab of Process Equipment and Control (GK201613) and Liaoning BaiQianWan Talents Program.
Acknowledgements
The authors would like to thank all the reviewers for their constructive comments.
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Articles in the same Issue
- Research Article
- Modelling a Disconnect Switch
- New Numerical Integration Methods for Simulation of Electromagnetic Transients
- Protection Systems and Earthing Schemes for Microgrids: Main Aspects and Fault Analysis
- Maxmize the House Roof PV Solar Output by Using Maximum Power Point Box (MPPB)
- Implementation of Single-Phase Two-Switch Midpoint Unidirectional Multilevel Converter System
- LIM Control Strategy Supported by Genetic Algorithm with Unbalanced AC Source
- Economical Feasibility of Photovoltaic Array Power Increase by Alternative Structures Inclusion
- Multi-Stage Optimal Placement of Branch PMU in Active Distribution Network
- Study on the Impacts of Uncertain Meteorological Parameters on Line Transmission Capacity
- A Buck-Boost DC/DC Converter with High Efficiency Suitable for Renewable Energies
- Smart Battery Charging Station for ElectricVehicle Using Half Bridge Power Converter
- Study on a Motor Bearing Fault Diagnosis Method Using Improved EWT Based on Scale Space Threshold Method
