Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven

The reliability and safety of the cascade system, which is widely applied, have attached attention increasingly. Fault detection and diagnosis can play a significant role in enhancing its reliability and safety. On account of the complexity of the double closed-loop system in operation, the problem...

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Autores principales: Wenbo Na, Siyu Guo, Yanfeng Gao, Jianxing Yang, Junjie Huang
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/9417eae50527413088aa0317134d5478
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spelling oai:doaj.org-article:9417eae50527413088aa0317134d54782021-11-11T19:16:56ZSingle Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven10.3390/s212173401424-8220https://doaj.org/article/9417eae50527413088aa0317134d54782021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7340https://doaj.org/toc/1424-8220The reliability and safety of the cascade system, which is widely applied, have attached attention increasingly. Fault detection and diagnosis can play a significant role in enhancing its reliability and safety. On account of the complexity of the double closed-loop system in operation, the problem of fault diagnosis is relatively complex. For the single fault of the second-order valued system sensors, a real-time fault diagnosis method based on data-driven is proposed in this study. Off-line data is employed to establish static fault detection, location, estimation, and separation models. The static models are calibrated with on-line data to obtain the real-time fault diagnosis models. The real-time calibration, working flow and anti-interference measures of the real-time diagnosis system are given. Experiments results demonstrate the validity and accuracy of the fault diagnosis method, which is suitable for the general cascade system.Wenbo NaSiyu GuoYanfeng GaoJianxing YangJunjie HuangMDPI AGarticlecascade systemfault diagnosissensordata-drivenChemical technologyTP1-1185ENSensors, Vol 21, Iss 7340, p 7340 (2021)
institution DOAJ
collection DOAJ
language EN
topic cascade system
fault diagnosis
sensor
data-driven
Chemical technology
TP1-1185
spellingShingle cascade system
fault diagnosis
sensor
data-driven
Chemical technology
TP1-1185
Wenbo Na
Siyu Guo
Yanfeng Gao
Jianxing Yang
Junjie Huang
Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
description The reliability and safety of the cascade system, which is widely applied, have attached attention increasingly. Fault detection and diagnosis can play a significant role in enhancing its reliability and safety. On account of the complexity of the double closed-loop system in operation, the problem of fault diagnosis is relatively complex. For the single fault of the second-order valued system sensors, a real-time fault diagnosis method based on data-driven is proposed in this study. Off-line data is employed to establish static fault detection, location, estimation, and separation models. The static models are calibrated with on-line data to obtain the real-time fault diagnosis models. The real-time calibration, working flow and anti-interference measures of the real-time diagnosis system are given. Experiments results demonstrate the validity and accuracy of the fault diagnosis method, which is suitable for the general cascade system.
format article
author Wenbo Na
Siyu Guo
Yanfeng Gao
Jianxing Yang
Junjie Huang
author_facet Wenbo Na
Siyu Guo
Yanfeng Gao
Jianxing Yang
Junjie Huang
author_sort Wenbo Na
title Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
title_short Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
title_full Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
title_fullStr Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
title_full_unstemmed Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
title_sort single fault diagnosis method of sensors in cascade system based on data-driven
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/9417eae50527413088aa0317134d5478
work_keys_str_mv AT wenbona singlefaultdiagnosismethodofsensorsincascadesystembasedondatadriven
AT siyuguo singlefaultdiagnosismethodofsensorsincascadesystembasedondatadriven
AT yanfenggao singlefaultdiagnosismethodofsensorsincascadesystembasedondatadriven
AT jianxingyang singlefaultdiagnosismethodofsensorsincascadesystembasedondatadriven
AT junjiehuang singlefaultdiagnosismethodofsensorsincascadesystembasedondatadriven
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