Fault Detection of Elevator System Using Profile Extraction and Deep Autoencoder Feature Extraction for Acceleration and Magnetic Signals.
Tomi KrogerusKalevi HuhtalaPublished in: IV (1) (2019)
Keyphrases
- fault detection
- feature extraction
- fault diagnosis
- fault identification
- industrial processes
- feature extraction and classification
- tennessee eastman
- vibration signal
- fuel cell
- failure detection
- fault detection and diagnosis
- condition monitoring
- fault localization
- robust fault detection
- extracted features
- wavelet transform
- pattern recognition
- fault isolation
- image processing
- magnetic field
- operating conditions
- frequency domain
- principal component analysis
- face recognition
- feature selection
- power plant
- mathematical model
- control system
- chemical process
- artificial intelligence