Interpretable fault detection using projections of mutual information matrix.
Feiya LvShujian YuChenglin WenJosé C. PríncipePublished in: J. Frankl. Inst. (2021)
Keyphrases
- fault detection
- mutual information
- fault diagnosis
- industrial processes
- information theoretic
- fault identification
- image registration
- projection matrix
- projection matrices
- condition monitoring
- tennessee eastman
- failure detection
- similarity measure
- rotating machinery
- information gain
- fault detection and diagnosis
- binary matrices
- fuel cell
- fault localization
- feature selection
- robust fault detection
- rows and columns
- fuzzy logic
- power plant
- binary matrix
- computer vision
- genetic algorithm
- neural network
- evolutionary algorithm
- underwater vehicles
- fault isolation
- knowledge base
- artificial intelligence
- machine learning