Multi-attribute quantitative bearing fault diagnosis based on convolutional neural network.
Shixin ZhangQin LvShenlin ZhangJianhua ShanPublished in: Cogn. Comput. Syst. (2021)
Keyphrases
- multi attribute
- fault diagnosis
- convolutional neural network
- monitoring and fault diagnosis
- neural network
- utility function
- face detection
- expert systems
- utility theory
- multiple attributes
- fault detection
- operating conditions
- bp neural network
- fault detection and diagnosis
- power transformers
- gas turbine
- rotating machinery
- electronic equipment
- fuzzy logic
- multi attribute decision making
- multi sensor information fusion
- multi dimensional
- condition monitoring
- chemical process
- attribute values
- real time
- analog circuits
- multiple faults
- computer vision
- artificial neural networks