Performance evaluation of BPSO & PCA as feature reduction techniques for bearing fault diagnosis

Performance evaluation of BPSO & PCA as feature reduction techniques for bearing fault diagnosis

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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...

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Bibliographic Details
Main Authors: Faysal, Atik, Ngui, Wai Keng, Lim, M. H.
Format: Book Chapter
Language:English
English
Published: Springer Nature Singapore 2021
Subjects:
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
Online Access: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/31926/1/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

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