A fault diagnosis approach for autonomous underwater vehicle thrusters using time-frequency entropy enhancement and boundary constraint-assisted relative gray relational grade.
Baoji YinMingjun ZhangXi LinJiwen FangShijie SuPublished in: J. Syst. Control. Eng. (2020)
Keyphrases
- fault diagnosis
- autonomous underwater vehicle
- neural network
- expert systems
- electronic equipment
- fault detection
- gas turbine
- operating conditions
- rbf neural network
- multiple faults
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- image processing
- analog circuits
- multi sensor information fusion
- fault tree
- image enhancement
- industrial systems
- power plant
- rotating machinery
- fault detection and isolation
- monitoring and fault diagnosis
- chemical process
- condition monitoring
- power transformers
- failure diagnosis
- information fusion
- fault identification
- mathematical model
- frequency domain
- wavelet transform
- decision making
- artificial intelligence