Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis.
Yingxiang LiuMohammad Razeghi-JahromiJames StoupisPublished in: IAS (2023)
Keyphrases
- fault detection
- principal component analysis
- industrial processes
- fault diagnosis
- fault identification
- failure detection
- condition monitoring
- rotating machinery
- robust fault detection
- principal components
- fault detection and diagnosis
- fuel cell
- covariance matrix
- fault localization
- tennessee eastman
- dimensionality reduction
- independent component analysis
- face recognition
- gas turbine
- genetic algorithm
- real time
- intelligent systems
- semi supervised
- expert systems
- fault isolation
- data mining
- neural network