A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis.
Shaodong ZhengJinsong ZhaoPublished in: Comput. Chem. Eng. (2020)
Keyphrases
- chemical process
- data mining methods
- fault diagnosis
- data mining
- decision trees
- expert systems
- fault detection and diagnosis
- neural network
- data mining techniques
- data mining algorithms
- fault detection
- tennessee eastman
- unsupervised learning
- rbf neural network
- bp neural network
- fuzzy logic
- semi supervised
- restricted boltzmann machine
- power transformers
- multiple faults
- operating conditions
- condition monitoring
- analog circuits
- electronic equipment
- rotating machinery
- decision making
- monitoring and fault diagnosis
- industrial systems
- fault identification
- data streams
- electrical power systems