Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification

In the fault classification process, filter methods that sequentially remove unnecessary features have long been studied. However, the existing filter methods do not have guidelines on which, and how many, features are needed. This study developed a multi-filter clustering fusion (MFCF) technique, t...

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Detalles Bibliográficos
Autores principales: Mochammad, Solichin, Noh, Yoojeong, Kang, Young-Jin, Park, Sunhwa, Lee, Jangwoo, Chin, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950067/
https://www.ncbi.nlm.nih.gov/pubmed/35336363
http://dx.doi.org/10.3390/s22062192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950067/
https://www.ncbi.nlm.nih.gov/pubmed/35336363
http://dx.doi.org/10.3390/s22062192

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