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Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis

The characteristics of the early fault signal of the rolling bearing are weak and this leads to difficulties in feature extraction. In order to diagnose and identify the fault feature from the bearing vibration signal, an adaptive local iterative filter decomposition method based on permutation entr...

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Detalles Bibliográficos
Autores principales:	Lv, Yong, Zhang, Yi, Yi, Cancan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512508/ https://www.ncbi.nlm.nih.gov/pubmed/33266644 http://dx.doi.org/10.3390/e20120920

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