Performance evaluation of BPSO & PCA as feature reduction techniques for bearing fault diagnosis
Vibration-based signal processing is the most popular and effective approach for fault diagnosis of bearing. In this paper, time-frequency domain analysis, i.e. empirical mode decomposition (EMD) was applied to the raw vibration signal. Intrinsic mode function (IMF) containing the characteristics of...
| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English English |
| Published: |
Springer Nature Singapore
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31926/ http://umpir.ump.edu.my/id/eprint/31926/1/PerformanceEvaluationofBPSOPCAasFeatureReductionTechniquesforBearingFaultDiagnosis-3.pdf http://umpir.ump.edu.my/id/eprint/31926/7/Performance%20Evaluation%20of%20BPSO%20%26%20PCA%20as%20Feature%20Reduction%20Techniques%20for%20Bearing%20Fault%20Diagnosis.docx |
Internet
http://umpir.ump.edu.my/id/eprint/31926/http://umpir.ump.edu.my/id/eprint/31926/1/PerformanceEvaluationofBPSOPCAasFeatureReductionTechniquesforBearingFaultDiagnosis-3.pdf
http://umpir.ump.edu.my/id/eprint/31926/7/Performance%20Evaluation%20of%20BPSO%20%26%20PCA%20as%20Feature%20Reduction%20Techniques%20for%20Bearing%20Fault%20Diagnosis.docx