Intelligent fault diagnosis of machine under noisy environment using ensemble orthogonal contractive auto-encoder.
Yuyan ZhangLiang GaoXiaoyu WenHaoqi WangPublished in: Expert Syst. Appl. (2022)
Keyphrases
- fault diagnosis
- noisy environments
- neural network
- industrial systems
- fault detection
- expert systems
- speech recognition
- noise reduction
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- vibration signal
- speech signal
- bit rate
- operating conditions
- electrical power systems
- analog circuits
- power transformers
- gas turbine
- multiple faults
- electronic equipment
- condition monitoring
- chemical process
- rate distortion
- automatic speech recognition
- rotating machinery
- monitoring and fault diagnosis
- artificial intelligence
- tennessee eastman
- fault identification
- intelligent systems
- artificial neural networks
- power plant
- decision making
- feature selection
- multi sensor information fusion