A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries-Reference-Cited by-同舟云学术

A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries

Published:2024 Issue: Volume:73 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Chi¹^ORCID,Dong Jie¹^ORCID,Meng Sikun¹^ORCID,Cong Zhiyu²^ORCID,Peng Kaixiang¹^ORCID

Affiliation:

1. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

2. Hot Rolling Plant, Ansteel Group Chaoyang Iron and Steel Company Ltd., Anshan, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10330120.pdf?arnumber=10330120

Reference39 articles.

1. Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control

2. A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes

3. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

4. A new key performance indicator oriented industrial process monitoring and operating performance assessment method based on improved Hessian locally linear embedding

5. A new multimode process monitoring method based on a hierarchical Dirichlet process—Hidden semi-Markov model with application to the hot steel strip mill process