Multiple Recurrent Neural Networks Based Fault Diagnosis Model for Multi-mode Process-Reference-Cited by-同舟云学术

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Multiple Recurrent Neural Networks Based Fault Diagnosis Model for Multi-mode Process

Published:2022-08-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Wan Chuan¹,Zhang Tongshuai¹,Yang Xiaojun¹,Xiong Zhihua¹

Affiliation:

1. Tsinghua University,Department of Automation,Beijing,China,100084

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858405.pdf?arnumber=9858405

Reference20 articles.

1. Double monitoring of common and specific features for multimode process

2. Process monitoring based on mode identification for multi-mode process with transitions

3. Data clustering: 50 years beyond K-means

4. Fault Detection and Classification for a Process with Multiple Production Grades

5. Multimode Process Monitoring Based on Mode Identification

Cited by 1 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. An Iterative Mode Merging Method For Multimode Process Monitoring With Transition Mode;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22

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