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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MDPI AG
2021
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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) |
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cascade system fault diagnosis sensor data-driven Chemical technology TP1-1185 |
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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 |
_version_ |
1718431598991376384 |