Intrinsic Mode Function Selection and Statistical Information Analysis for Bearing Ball Fault Detection

DOI10.1007/978-981-15-1746-4_6zbMath1461.93113OpenAlexW3006697082MaRDI QIDQ5857266

Zahra Mezni, Ahmed Braham, Demba Diallo, Claude Delpha

Publication date: 31 March 2021

Published in: Diagnosis, Fault Detection & Tolerant Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-15-1746-4_6

zbMATH Keywords

fault detection and diagnosisKullback-Leibler divergenceempirical mode decompositionintrinsic mode function selectionstatistical moment analysis

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Sensitivity (robustness) (93B35)

Cites Work

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• Detecting abnormal situations using the Kullback-Leibler divergence
• Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis
• Improved EMD using doubly-iterative sifting and high order spline interpolation
• Change-point detection in time-series data by relative density-ratio estimation
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• On Information and Sufficiency

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