Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection.
Francesco FerracutiAlessandro FreddiAndrea MonteriùLuca RomeoPublished in: IEEE Trans Autom. Sci. Eng. (2022)
Keyphrases
- rotating machinery
- fault diagnosis
- feature selection
- fault detection
- neural network
- fuzzy logic
- expert systems
- fault detection and diagnosis
- rbf neural network
- bp neural network
- feature set
- condition monitoring
- gas turbine
- power plant
- chemical process
- operating conditions
- fault detection and isolation
- power transformers
- feature space
- support vector
- electronic equipment
- multiple faults
- industrial systems
- monitoring and fault diagnosis
- industrial processes
- feature extraction
- fault identification
- multi sensor information fusion
- analog circuits
- support vector machine
- machine learning
- failure diagnosis
- soft computing methods
- knn
- tennessee eastman
- artificial intelligence