Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection-Reference-Cited by-同舟云学术

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Multiple detectors-based Bayesian inference and statistics analysis for incipient fault detection

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
language:
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Author:

Wang Ruixue¹,Zhao Wenqing¹,Cheng Chao²,Zou Xiaoyu³,Ji Hongquan¹

Affiliation:

1. Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China

2. Changchun University of Technology,College of Computer Science and Engineering,Changchun,China

3. China University of Mining and Technology,School of Mechanical and Electrical Engineering,Xuzhou,China

Funder

Taishan Scholar Project of Shandong Province

Natural Science Foundation of Shandong Province

Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295652.pdf?arnumber=10295652

Reference17 articles.

1. Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis

2. Incipient fault detection with probability transformation and statistical feature analysis;ji;Automatica,2023

3. A Novel Dynamic Weight Principal Component Analysis Method and Hierarchical Monitoring Strategy for Process Fault Detection and Diagnosis

4. Disturbance detection and isolation by dynamic principal component analysis

5. Statistical process monitoring: basics and beyond;qin;Journal of Chemometrics,2003

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