Research on rolling bearing fault diagnosis based on multi-dimensional feature extraction and evidence fusion theory

Rolling bearing failure is the main cause of failure of rotating machinery, and leads to huge economic losses. The demand of the technique on rolling bearing fault diagnosis in industrial applications is increasing. With the development of artificial intelligence, the procedure of rolling bearing fa...

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Autores principales: Jingchao Li, Yulong Ying, Yuan Ren, Siyu Xu, Dongyuan Bi, Xiaoyun Chen, Yufang Xu
Formato: Artigo
Lenguaje:Inglês
Publicado: The Royal Society 2019-02-01
Colección:Royal Society Open Science
Materias:
rolling element bearing
pattern recognition
holder coefficient characteristics
fractal box-counting dimension characteristics
grey relation algorithm
yager algorithm
Acceso en línea:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.181488
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