Application of incremental support vector regression based on optimal training subset and improved particle swarm optimization algorithm in real-time sensor fault diagnosis.
Dongdong ZhangWenguo XiangQiwei CaoShiyi ChenPublished in: Appl. Intell. (2021)
Keyphrases
- fault diagnosis
- particle swarm optimization algorithm
- real time
- electrical power systems
- support vector
- convergence speed
- soft computing methods
- particle swarm optimization
- expert systems
- fault detection
- neural network
- improved pso algorithm
- fault detection and diagnosis
- particle swarm
- fuzzy logic
- bp neural network
- chemical process
- electronic equipment
- steam turbine
- power transformers
- multiple faults
- monitoring and fault diagnosis
- analog circuits
- training set
- inertia weight
- condition monitoring
- machine learning
- rbf neural network
- decision making
- rotating machinery
- operating conditions