Fault Diagnosis Based on Non-Negative Sparse Constrained Deep Neural Networks and Dempster-Shafer Theory.
Zhuo ZhangWen JiangJie GengXinyang DengXiang LiPublished in: IEEE Access (2020)
Keyphrases
- fault diagnosis
- dempster shafer theory
- neural network
- belief functions
- combination rule
- fuzzy logic
- operating conditions
- expert systems
- fusion algorithm
- fault detection
- dempster shafer
- bp neural network
- gas turbine
- fault detection and diagnosis
- dempster shafer evidence theory
- condition monitoring
- rbf neural network
- power transformers
- multiple faults
- electronic equipment
- analog circuits
- multi sensor information fusion
- artificial neural networks
- power plant
- rotating machinery
- feature extraction
- neural network model
- radial basis function
- back propagation
- image analysis
- pattern recognition
- multi sensor
- evolutionary computation
- data fusion
- computational intelligence
- chemical process
- monitoring and fault diagnosis
- genetic algorithm