Nonlinear Dynamic System Based on SAE-LDS Model for Fault Diagnosis-Reference-Cited by-同舟云学术

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Nonlinear Dynamic System Based on SAE-LDS Model for Fault Diagnosis

Published:2024-05-17 Issue: Volume: Page:1958-1963
ISSN:
Container-title:2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Tang Xiaochu¹,Zhang Yi¹,Zhang Xinmin²,Song Zhihuan²

Affiliation:

1. School of Automation, Shenyang Aerospace University,Shenyang,Liaoning Province,China,110136

2. College of Control Science and Engineering, Zhejiang University,State Key Laboratory of Industrial Control Technology,Hangzhou,Zhejiang Province,China,310027

Funder

National Natural Science Foundation of China (NSFC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606815.pdf?arnumber=10606815

Reference22 articles.

1. A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes

2. Fault detection of multimode process based on local neighbor normalized matrix

3. Review of Recent Research on Data-Based Process Monitoring

4. Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning machine

5. Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis

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