Decentralized Monitoring of Dynamic Processes Based on Dynamic Feature Selection and Informative Fault Pattern Dissimilarity

@article{Tong2016DecentralizedMO,
  title={Decentralized Monitoring of Dynamic Processes Based on Dynamic Feature Selection and Informative Fault Pattern Dissimilarity},
  author={Chudong Tong and Xuhua Shi},
  journal={IEEE Transactions on Industrial Electronics},
  year={2016},
  volume={63},
  pages={3804-3814}
}
Although decentralized modeling has been widely employed in monitoring large-scale processes, the dynamic property in process data is rarely investigated. Meanwhile, fault diagnosis in a way similar to pattern recognition is still challenging. To handle these issues, a dynamic decentralized fault detection and diagnosis framework based on dynamic feature selection and informative fault pattern (IFP) dissimilarity is presented. The proposed method accounts explicitly for the dynamic property in… CONTINUE READING

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