A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants.
S. I. SenarathnaL. A. U. PrasanshiS. D. W. SenanayakeDhammike WimalarathneS. KumarawaduV. LogeeshanChathura WanigasekaraPublished in: AIIoT (2023)
Keyphrases
- artificial neural networks
- power generation
- anomaly detection
- feature vectors
- neural network
- unit commitment
- support vector
- support vector machine
- computational intelligence
- support vector machine svm
- back propagation
- decision makers
- stochastic programming
- bp neural network
- intelligent systems
- feature extraction
- feature selection