Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis
In this paper, an online model-based fault detection approach based on residual analysis in synchronous generators (SGs) is presented. Two types of faults are studied in this paper: (i) reduction of the cross-sectional area of windings wires in SGs, and (ii) air-gap eccentricity. The residual vector...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9638665/ |
| _version_ | 1818352982368976896 |
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| author | Zahra Masoumi Bijan Moaveni Sayed Mohammad Mousavi Gazafrudi Jawad Faiz |
| author_facet | Zahra Masoumi Bijan Moaveni Sayed Mohammad Mousavi Gazafrudi Jawad Faiz |
| author_sort | Zahra Masoumi |
| collection | DOAJ |
| description | In this paper, an online model-based fault detection approach based on residual analysis in synchronous generators (SGs) is presented. Two types of faults are studied in this paper: (i) reduction of the cross-sectional area of windings wires in SGs, and (ii) air-gap eccentricity. The residual vector based on the equivalent circuit (EC) parameters or state-space model of the SG is employed for fault detection. The introduced fault detection approach employs the stator and field currents and voltages, and rotor rotational speed. The main advantage of the presented method is able to be used for linear and nonlinear loads in the presence of uncertainty in EC parameters. The effectiveness of the proposed method is shown using the experimental data of five SGs in diesel-electric locomotives. |
| first_indexed | 2024-12-13T19:02:17Z |
| format | Article |
| id | doaj.art-85fd16e215d54baa941133d7de9867af |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T19:02:17Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-85fd16e215d54baa941133d7de9867af2022-12-21T23:34:40ZengIEEEIEEE Access2169-35362021-01-01916369716370610.1109/ACCESS.2021.31333689638665Online Model-Based Fault Detection of Synchronous Generators Using Residual AnalysisZahra Masoumi0https://orcid.org/0000-0003-4402-9027Bijan Moaveni1https://orcid.org/0000-0003-1737-4837Sayed Mohammad Mousavi Gazafrudi2https://orcid.org/0000-0003-2835-3265Jawad Faiz3https://orcid.org/0000-0003-0844-8523School of Railway Engineering, Iran University of Science and Technology, Tehran, IranFaculty of Electrical Engineering, Centre of Excellence for Modelling and Control of Complex Systems, K. N. Toosi University of Technology, Tehran, IranSchool of Railway Engineering, Iran University of Science and Technology, Tehran, IranSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, IranIn this paper, an online model-based fault detection approach based on residual analysis in synchronous generators (SGs) is presented. Two types of faults are studied in this paper: (i) reduction of the cross-sectional area of windings wires in SGs, and (ii) air-gap eccentricity. The residual vector based on the equivalent circuit (EC) parameters or state-space model of the SG is employed for fault detection. The introduced fault detection approach employs the stator and field currents and voltages, and rotor rotational speed. The main advantage of the presented method is able to be used for linear and nonlinear loads in the presence of uncertainty in EC parameters. The effectiveness of the proposed method is shown using the experimental data of five SGs in diesel-electric locomotives.https://ieeexplore.ieee.org/document/9638665/Synchronous generatorair-gap eccentricity faultfault detectionmodel-based approach |
| spellingShingle | Zahra Masoumi Bijan Moaveni Sayed Mohammad Mousavi Gazafrudi Jawad Faiz Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis IEEE Access Synchronous generator air-gap eccentricity fault fault detection model-based approach |
| title | Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis |
| title_full | Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis |
| title_fullStr | Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis |
| title_full_unstemmed | Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis |
| title_short | Online Model-Based Fault Detection of Synchronous Generators Using Residual Analysis |
| title_sort | online model based fault detection of synchronous generators using residual analysis |
| topic | Synchronous generator air-gap eccentricity fault fault detection model-based approach |
| url | https://ieeexplore.ieee.org/document/9638665/ |
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