Spatial Activation Suppression for Unsupervised Anomaly Detectors in Freight Train Fault Detection.
Ji QiuHongmei ShiYuhen HuZujun YuPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- fault detection
- fault diagnosis
- industrial processes
- fault identification
- rotating machinery
- robust fault detection
- anomaly detection
- condition monitoring
- tennessee eastman
- fuel cell
- spatial data
- failure detection
- fault localization
- spatial information
- fault detection and diagnosis
- unsupervised learning
- fault isolation
- semi supervised
- power plant
- fault detection and isolation
- spatial patterns
- object detection
- search algorithm
- intrusion detection
- neural network
- denoising
- edge detection
- real time