Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis-Reference-Cited by-同舟云学术

Novel Pattern-Matching Integrated KCVA with Adaptive Rank-Order Morphological Filter and Its Application to Fault Diagnosis

Published:2019-12-29 Issue:4 Volume:59 Page:1619-1630
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Xu Yuan¹²³,Fan Cuihuan¹²,Zhu Qun-Xiong¹²^ORCID,Rajabifard Abbas³,Chen Nengcheng⁴,Chen Yiqun³,He Yan-Lin¹²^ORCID

Affiliation:

1. College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, P. R. China

2. Engineering Research Center of Intelligent PSE, Ministry of Education of China, Beijing 100029, P. R. China

3. Center for SDI and Land Administration, Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia

4. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, Hubei 430079, P. R. China

Funder

Ministry of Education of the People's Republic of China

China Scholarship Council

National Natural Science Foundation of China

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b05403

Reference33 articles.

1. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

2. A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on an Optimal Preference Matrix

3. On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: A least squares method

4. A Signed Directed Graph and Qualitative Trend Analysis-Based Framework for Incipient Fault Diagnosis

5. A study of polynomial fit-based methods for qualitative trend analysis

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