A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis

A feature extraction method named improved multi-scale entropy (IMSE) is proposed for rolling bearing fault diagnosis. This method could overcome information leakage in calculating the similarity of machinery systems, which is based on Pythagorean Theorem and similarity criterion. Features extracted...

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Detalles Bibliográficos
Autores principales: Ju, Bin, Zhang, Haijiao, Liu, Yongbin, Liu, Fang, Lu, Siliang, Dai, Zhijia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512727/
https://www.ncbi.nlm.nih.gov/pubmed/33265303
http://dx.doi.org/10.3390/e20040212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512727/
https://www.ncbi.nlm.nih.gov/pubmed/33265303
http://dx.doi.org/10.3390/e20040212

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