Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform.
Guoqiang LiChao DengJun WuXuebing XuXinyu ShaoYuanhang WangPublished in: Sensors (2019)
Keyphrases
- fault diagnosis
- data driven
- convolutional neural networks
- monitoring and fault diagnosis
- neural network
- convolutional network
- expert systems
- fault detection
- fault detection and diagnosis
- bp neural network
- rotating machinery
- power transformers
- operating conditions
- condition monitoring
- fuzzy logic
- real time
- electronic equipment
- industrial systems
- multi sensor information fusion
- fault identification
- multiple faults
- fault detection and isolation
- tennessee eastman
- steam turbine
- electrical power systems
- rbf neural network
- power plant
- failure diagnosis
- gas turbine
- chemical process
- denoising
- fault tree
- decision making
- simulation model
- analog circuits
- bp algorithm
- data mining