Average Accumulative Based Time Variant Model for Early Diagnosis and Prognosis of Slowly Varying Faults

Early detection of slowly varying small faults is an essential step for fault prognosis. In this paper, we first propose an average accumulative (AA) based time varying principal component analysis (PCA) model for early detection of slowly varying faults. The AA based method can increase the fault s...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Funa, Park, Ju H., Wen, Chenglin, Hu, Po
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021969/
https://www.ncbi.nlm.nih.gov/pubmed/29865291
http://dx.doi.org/10.3390/s18061804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021969/
https://www.ncbi.nlm.nih.gov/pubmed/29865291
http://dx.doi.org/10.3390/s18061804

Ejemplares similares