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

• Main Authors: Faysal, Atik, Ngui, Wai Keng, Lim, M. H.
• Format: Book Section
• 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; http://umpir.ump.edu.my/id/eprint/31926/; https://doi.org/10.1007/978-981-33-4597-3_55; https://doi.org/10.1007/978-981-33-4597-3_55

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...