Journal
JOURNAL OF VIBROENGINEERING
Volume 20, Issue 7, Pages 2604-2621Publisher
JVE INT LTD
DOI: 10.21595/jve.2018.19479
Keywords
VMD; diagnosis; gear; bearing; vibration signal
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Funding
- Institute of Noise and Vibration UTM under the Higher Institution Centre of Excellence (HICoE) Grant Scheme [R.K130000.7809.4J226]
- UTM Research University Grant [Q.K130000.2543.11H36]
- Fundamental Research Grant Scheme by Ministry of Higher Education Malaysia [R.K130000.7840.4F653]
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Variational mode decomposition (VMD) is a modern decomposition method used for many engineering monitoring and diagnosis recently, which replaced traditional empirical mode decomposition (EMD) method. However, the performance of VIVID method specifically depends on the parameter that need to pre-determine for VIVID method especially the mode number. This paper proposed a mode determination method using signal difference average (SDA) to determine the mode number for the VIVID method by taking the advantages of similarities concept between sum of variational mode functions (VMFs) and the input signals. Online high-speed gear and bearing fault data were used to validate the performance of the proposed method. The diagnosis result using frequency spectrum has been compared with traditional EMD method and the proposed method has been proved to be able to provide an accurate number of mode for the VIVID method effectively for rotating machinery applications.
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