A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm

As crucial equipment during industrial manufacture, the health status of rotating machinery affects the production efficiency and device safety. Hence, it is of great significance to diagnose rotating machinery faults, which can contribute to guarantee the running stability and plan for maintenance,...

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Detalles Bibliográficos
Autores principales: Fu, Wenlong, Tan, Jiawen, Li, Chaoshun, Zou, Zubing, Li, Qiankun, Chen, Tie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513146/
https://www.ncbi.nlm.nih.gov/pubmed/33265715
http://dx.doi.org/10.3390/e20090626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513146/
https://www.ncbi.nlm.nih.gov/pubmed/33265715
http://dx.doi.org/10.3390/e20090626

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