Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising.
Zexian WeiDeqiang HeZhenzhen JinSheng ShanXueyan ZouJian MiaoChang LiuPublished in: Appl. Intell. (2023)
Keyphrases
- fault diagnosis
- denoising
- monitoring and fault diagnosis
- feature space
- industrial systems
- expert systems
- fault detection
- data points
- neural network
- operating conditions
- bp neural network
- image denoising
- fault detection and diagnosis
- k means
- rotating machinery
- power transformers
- multiple faults
- fuzzy logic
- dimensionality reduction
- clustering method
- analog circuits
- data clustering
- gas turbine
- chemical process
- clustering algorithm
- electronic equipment
- feature vectors
- fault identification
- image processing
- condition monitoring
- fault detection and isolation
- kernel function
- self organizing maps
- natural images
- tennessee eastman
- multi sensor information fusion
- genetic algorithm
- power plant
- intelligent systems
- feature selection
- decision making
- cluster analysis
- real time
- electrical power systems
- markov chain
- machine learning
- fault diagnostic
- computational intelligence