Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| 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 |