An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals.
Myeongsu KangJaeyoung KimJong-Myon KimPublished in: IEEE Trans. Ind. Electron. (2015)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- real time
- fault diagnostic
- expert systems
- neural network
- fault detection
- fuzzy logic
- power transformers
- electrical power systems
- rbf neural network
- chemical process
- fault detection and diagnosis
- bp neural network
- cell processor
- rotating machinery
- gas turbine
- operating conditions
- vibration signal
- analog circuits
- industrial systems
- hardware implementation
- electronic equipment
- signal processing
- control system
- multiple faults
- condition monitoring
- video processing
- power system
- artificial neural networks
- genetic algorithm
- fault detection and isolation
- soft computing methods
- power plant
- fault tree
- intelligent systems
- tennessee eastman
- data mining
- multi sensor information fusion