Information-Theoretic Syndrome Evaluation, Statistical Root-Cause Analysis, and Correlation-Based Feature Selection for Guiding Board-Level Fault Diagnosis.
Fangming YeZhaobo ZhangKrishnendu ChakrabartyXinli GuPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2015)
Keyphrases
- information theoretic
- fault diagnosis
- information theory
- root cause analysis
- mutual information
- theoretic framework
- fault detection
- expert systems
- neural network
- information theoretic measures
- fuzzy logic
- bp neural network
- multi sensor information fusion
- operating conditions
- monitoring and fault diagnosis
- power transformers
- condition monitoring
- analog circuits
- fault detection and diagnosis
- gas turbine
- chemical process
- multiple faults
- information bottleneck
- information fusion
- decision support
- electronic equipment
- rotating machinery
- feature selection
- competitive learning
- root cause
- training data
- case study
- artificial intelligence
- genetic algorithm