From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes.
Siwei LouChunjie YangXujie ZhangHanwen ZhangPing WuPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- fault diagnosis
- correlation analysis
- monitoring and fault diagnosis
- fault detection
- neural network
- regression analysis
- fault detection and diagnosis
- fuzzy logic
- expert systems
- electronic equipment
- analog circuits
- gas turbine
- cluster analysis
- condition monitoring
- power transformers
- bp neural network
- correlation coefficient
- multi sensor information fusion
- chemical process
- rotating machinery
- multiple faults
- non stationary
- industrial processes
- operating conditions
- factor analysis
- information fusion
- learning algorithm