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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| 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: | |
| Online Access: | https://ieeexplore.ieee.org/document/10955191/ |
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