Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite.
Yuanhong ChangJinglong ChenShuilong HeTongyang PanPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- similarity metric
- fault detection
- small samples
- fault diagnosis
- industrial processes
- similarity measure
- tennessee eastman
- similarity metrics
- fault identification
- failure detection
- fuel cell
- euclidean metric
- robust fault detection
- accurate models
- sample size
- intelligent systems
- fault detection and diagnosis
- power plant
- upper bound
- training data
- decision trees
- data mining