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Joint Data-Driven Fault Diagnosis Integrating Causality Graph With Statistical Process Monitoring for Complex Industrial Processes

  • Published:2017 Issue: Volume:5 Page:25217-25225
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Dong Jie,Wang Mengyuan,Zhang Xiong,Ma Liang,Peng KaixiangORCID

Funder

Natural Science Foundation of China

Fundamental Research Funds for the China Central Universities of USTB, China

Newton Research Collaboration Award of the Royal Academy of Engineering, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Hybrid Process Data and Knowledge-Based Fault Diagnosis Method for Product Quality Monitoring of a Hot Rolling Mill;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

2. Fault Detection Based on Causal Discovery and Graph Convolutional Network for Complex Mechatronic Systems;IEEE Transactions on Reliability;2024

3. Information‐Enabled Decision‐Making in Big Data Scenarios;IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK);2023-09-29

4. Graph Pattern Matching Based Intelligent Operation and Maintenance Method for Cloud Resource Operation;2023 8th International Conference on Data Science in Cyberspace (DSC);2023-08-18

5. Hierarchical Fault Root Cause Identification in Plant-Wide Processes Using Distributed Direct Causality Analysis;IEEE Transactions on Industrial Informatics;2023
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