Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series.
Cheng ChengXiaoyu LiuBeitong ZhouYe YuanPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- fault diagnosis
- industrial systems
- semisupervised learning
- gas turbine
- chemical process
- industrial applications
- neural network
- semi supervised learning
- supervised learning
- label propagation
- computational linguistics
- unlabeled data
- fault detection and diagnosis
- fuzzy logic
- fault detection
- expert systems
- fault diagnostic
- bp neural network
- power transformers
- multi sensor information fusion
- operating conditions
- supervised and unsupervised learning
- semi supervised
- electronic equipment
- labeled data
- class labels
- intelligent systems
- cost sensitive
- training data
- rotating machinery
- training examples
- analog circuits
- condition monitoring
- decision making
- monitoring and fault diagnosis
- autoregressive
- pairwise
- data sets
- decision trees
- multiple faults
- natural language processing
- clustering method