A Novel Fault Detection and Identification Framework for Rotating Machinery Using Residual Current Spectrum

A novel framework of model-based fault detection and identification (MFDI) for induction motor (IM)-driven rotating machinery (RM) is proposed in this study. A data-driven subspace identification (SID) algorithm is employed to obtain the IM state-space model from the voltage and current signals in a...

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Detalles Bibliográficos
Autores principales: Purbowaskito, Widagdo, Lan, Chen-Yang, Fuh, Kenny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434057/
https://www.ncbi.nlm.nih.gov/pubmed/34502756
http://dx.doi.org/10.3390/s21175865

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434057/
https://www.ncbi.nlm.nih.gov/pubmed/34502756
http://dx.doi.org/10.3390/s21175865

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