Wind Turbine Gearbox Diagnosis Based on Stator Current
Early detection of faults in wind energy systems can reduce downtime, operating, and maintenance costs while increasing productivity. This paper proposes a method based on the analysis of generator stator current signals to detect faults in a wind turbine gearbox equipped with a doubly fed induction...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/14/5286 |
| _version_ | 1797589559256547328 |
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| author | Idris Issaadi Kamel Eddine Hemsas Abdenour Soualhi |
| author_facet | Idris Issaadi Kamel Eddine Hemsas Abdenour Soualhi |
| author_sort | Idris Issaadi |
| collection | DOAJ |
| description | Early detection of faults in wind energy systems can reduce downtime, operating, and maintenance costs while increasing productivity. This paper proposes a method based on the analysis of generator stator current signals to detect faults in a wind turbine gearbox equipped with a doubly fed induction generator (DFIG). A localized parameter model was established to simulate the vibratory response of a two-stage gear system under healthy and faulty conditions. The simulation was performed in the MATLAB/Simulink environment. The results include a detailed analysis of the mechanical part of the gearbox, highlighting mesh stiffness, output speed, and accelerations. Additionally, the electrical part was evaluated based on the current supplied by the doubly fed induction generator. The results were presented in the case of healthy gears and in the presence of faults such as a broken or cracked tooth. Fast Fourier transform (FFT) analysis was employed to detect gear defects in the stator current signal. The presence of a crack or broken tooth in the gearbox induces modulation of the DFIG stator current signals according to the shaft frequencies corresponding to the faulty gear. These findings provide a preliminary basis for the detection and diagnosis of this type of failure. |
| first_indexed | 2024-03-11T01:08:18Z |
| format | Article |
| id | doaj.art-eed9250699154c94bc5454c66dbb1475 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T01:08:18Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-eed9250699154c94bc5454c66dbb14752023-11-18T19:08:06ZengMDPI AGEnergies1996-10732023-07-011614528610.3390/en16145286Wind Turbine Gearbox Diagnosis Based on Stator CurrentIdris Issaadi0Kamel Eddine Hemsas1Abdenour Soualhi2LAS Laboratory, Department of Electrical Engineering, Faculty of Technology, Ferhat Abbas University Setif-1, Campus El Bez, Setif 19137, AlgeriaLAS Laboratory, Department of Electrical Engineering, Faculty of Technology, Ferhat Abbas University Setif-1, Campus El Bez, Setif 19137, AlgeriaLaspi, University of Jean Monnet, 20 Avenue de Paris, 42300 Roanne, FranceEarly detection of faults in wind energy systems can reduce downtime, operating, and maintenance costs while increasing productivity. This paper proposes a method based on the analysis of generator stator current signals to detect faults in a wind turbine gearbox equipped with a doubly fed induction generator (DFIG). A localized parameter model was established to simulate the vibratory response of a two-stage gear system under healthy and faulty conditions. The simulation was performed in the MATLAB/Simulink environment. The results include a detailed analysis of the mechanical part of the gearbox, highlighting mesh stiffness, output speed, and accelerations. Additionally, the electrical part was evaluated based on the current supplied by the doubly fed induction generator. The results were presented in the case of healthy gears and in the presence of faults such as a broken or cracked tooth. Fast Fourier transform (FFT) analysis was employed to detect gear defects in the stator current signal. The presence of a crack or broken tooth in the gearbox induces modulation of the DFIG stator current signals according to the shaft frequencies corresponding to the faulty gear. These findings provide a preliminary basis for the detection and diagnosis of this type of failure.https://www.mdpi.com/1996-1073/16/14/5286current signaldoubly fed induction generator (DFIG)fault detectiongearboxtwo-stage spur gear systemwind turbine |
| spellingShingle | Idris Issaadi Kamel Eddine Hemsas Abdenour Soualhi Wind Turbine Gearbox Diagnosis Based on Stator Current Energies current signal doubly fed induction generator (DFIG) fault detection gearbox two-stage spur gear system wind turbine |
| title | Wind Turbine Gearbox Diagnosis Based on Stator Current |
| title_full | Wind Turbine Gearbox Diagnosis Based on Stator Current |
| title_fullStr | Wind Turbine Gearbox Diagnosis Based on Stator Current |
| title_full_unstemmed | Wind Turbine Gearbox Diagnosis Based on Stator Current |
| title_short | Wind Turbine Gearbox Diagnosis Based on Stator Current |
| title_sort | wind turbine gearbox diagnosis based on stator current |
| topic | current signal doubly fed induction generator (DFIG) fault detection gearbox two-stage spur gear system wind turbine |
| url | https://www.mdpi.com/1996-1073/16/14/5286 |
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