Augmented mahalanobis distance for incipient fault detection of industrial processes.
Hongquan JiXiao HeDonghua ZhouPublished in: SMC (2017)
Keyphrases
- fault detection
- mahalanobis distance
- industrial processes
- fault diagnosis
- euclidean distance
- covariance matrix
- noise model
- tennessee eastman
- condition monitoring
- fault detection and isolation
- metric learning
- distance metric
- fuel cell
- fault detection and diagnosis
- data distribution
- power plant
- neural network
- decision support system