A Novel Incipient Fault Detection and Diagnosis Scheme Based on Kernel Density Weighting Support Vector Data Description: Application on the DAMADICS Benchmark Process-Reference-Cited by-同舟云学术

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A Novel Incipient Fault Detection and Diagnosis Scheme Based on Kernel Density Weighting Support Vector Data Description: Application on the DAMADICS Benchmark Process

Published:2023-05-09 Issue:1 Volume:56 Page:
ISSN:0021-9592
Container-title:Journal of Chemical Engineering of Japan
language:en
Short-container-title:Journal of Chemical Engineering of Japan

Author:

Zhang Cheng¹,Yi Haidi²,Li Yuan³

Affiliation:

1. College of Science, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China

2. College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China

3. College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00219592.2023.2204129

Reference31 articles.

1. Analysis and generalization of fault diagnosis methods for process monitoring

2. Vibration Spectrum Imaging: A Novel Bearing Fault Classification Approach

3. Fault diagnosis of industrial actuators in a sugar factory: a European study

4. Using damadics actuator benchmark library (dablib);Bartyś M;Final Ver,2001

5. Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

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