An EPS-kNN Fault Propagation Analysis Method for Industrial Processes Based on the Fusion of Knowledge and Data

An EPS-kNN Fault Propagation Analysis Method for Industrial Processes Based on the Fusion of Knowledge and Data

To reduce the false connections resulting from numerous redundant paths in the fault propagation analysis for industrial processes, an equal probability symbolized k-nearest neighbors (EPS-kNN) fault propagation analysis method based on the fusion of fault data and process knowledge is proposed. Sub...

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Bibliographic Details
Main Authors: Wang Lixin, Qian Xiaoyi, Feng Yanliang, Dai Ziheng, Kang Changsheng, Guan Shuai, Zhao Yi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Complex network model
fault propagation path
k-nearest neighbors
subblock interaction monitoring
Online Access:https://ieeexplore.ieee.org/document/10955191/
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https://ieeexplore.ieee.org/document/10955191/

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