Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis.
Yingxiang LiuMohammad Razeghi-JahromiJames StoupisPublished in: CoRR (2023)
Keyphrases
- fault detection
- principal component analysis
- industrial processes
- fault diagnosis
- fault identification
- condition monitoring
- failure detection
- robust fault detection
- rotating machinery
- fault localization
- unsupervised learning
- fault detection and diagnosis
- principal components
- dimensionality reduction
- fuel cell
- tennessee eastman
- power plant
- independent component analysis
- covariance matrix
- face recognition
- np hard
- pattern recognition