Board-Level Functional Fault Diagnosis Using Artificial Neural Networks, Support-Vector Machines, and Weighted-Majority Voting.
Fangming YeZhaobo ZhangKrishnendu ChakrabartyXinli GuPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2013)
Keyphrases
- fault diagnosis
- using artificial neural networks
- support vector
- neural network
- fault detection
- artificial neural networks
- bp neural network
- fuzzy logic
- gas turbine
- fault detection and diagnosis
- chemical process
- multiple faults
- electronic equipment
- expert systems
- analog circuits
- neural network model
- operating conditions
- multi sensor information fusion
- monitoring and fault diagnosis
- condition monitoring
- power transformers
- generalization ability
- weighted majority voting
- radial basis function
- multi class
- support vector machine
- classification accuracy
- rotating machinery
- feature extraction
- artificial intelligence