Feature Identification With Compressive Measurements for Machine Fault Diagnosis.
Zhaohui DuXuefeng ChenHan ZhangHuihui MiaoYanjie GuoBoyuan YangPublished in: IEEE Trans. Instrum. Meas. (2016)
Keyphrases
- fault diagnosis
- neural network
- fault detection
- expert systems
- bp neural network
- fault detection and diagnosis
- monitoring and fault diagnosis
- chemical process
- multiple faults
- analog circuits
- operating conditions
- power transformers
- rbf neural network
- gas turbine
- fuzzy logic
- condition monitoring
- industrial systems
- fault identification
- electronic equipment
- multi sensor information fusion
- vibration signal
- feature vectors
- data fusion
- tennessee eastman
- decision making
- failure diagnosis
- multiresolution
- fault detection and isolation
- artificial neural networks
- case study
- electrical power systems
- power plant
- feature set
- rotating machinery
- fault tree
- genetic algorithm