Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox
The wind turbine gearbox is a critical equipment transforming the speed of the rotor hub to the generator, the condition of which is the reflection of operational efficiency and reliability of wind turbines. As the initial stage of the wind turbine gearbox, the fault feature extraction of the planet...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research
2021-10-01
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| Series: | Engineering Transactions |
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| Online Access: | https://et.ippt.pan.pl/index.php/et/article/view/1326 |
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| author | Jin XU Xian DING Zhu ZHANG Lang CHEN |
| author_facet | Jin XU Xian DING Zhu ZHANG Lang CHEN |
| author_sort | Jin XU |
| collection | DOAJ |
| description | The wind turbine gearbox is a critical equipment transforming the speed of the rotor hub to the generator, the condition of which is the reflection of operational efficiency and reliability of wind turbines. As the initial stage of the wind turbine gearbox, the fault feature extraction of the planetary gear set is challenging since it is prone to be affected by complicated structure, vibration from other high-speed stages and background noise. In this paper, a double Q factor wavelet-based sparse decomposition is applied to the fault feature extraction of the wind turbine planetary gearbox. Considering the sparsest wavelet coefficients, the vibration signal is iteratively decomposed into high Q and low Q components. The fault feature is generally hidden in the low Q component. With further demodulation, the fault information of planetary gears can be easily detected.
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| format | Article |
| id | doaj-art-b10377885da24ebe8f15d7fa52d50636 |
| institution | Kabale University |
| issn | 0867-888X 2450-8071 |
| language | English |
| publishDate | 2021-10-01 |
| publisher | Institute of Fundamental Technological Research |
| record_format | Article |
| series | Engineering Transactions |
| spelling | doaj-art-b10377885da24ebe8f15d7fa52d506362025-08-20T03:49:49ZengInstitute of Fundamental Technological ResearchEngineering Transactions0867-888X2450-80712021-10-0169410.24423/EngTrans.1326.20211004Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary GearboxJin XU0Xian DING1Zhu ZHANG2Lang CHEN3China Green Development Investment Group CO. LTD. Luneng Group CO. LTD.China Green Development Investment Group CO. LTD.Jiangsu Goldwind Science & Technology CO. LTD.Jiangsu Goldwind Science & Technology CO. LTD.The wind turbine gearbox is a critical equipment transforming the speed of the rotor hub to the generator, the condition of which is the reflection of operational efficiency and reliability of wind turbines. As the initial stage of the wind turbine gearbox, the fault feature extraction of the planetary gear set is challenging since it is prone to be affected by complicated structure, vibration from other high-speed stages and background noise. In this paper, a double Q factor wavelet-based sparse decomposition is applied to the fault feature extraction of the wind turbine planetary gearbox. Considering the sparsest wavelet coefficients, the vibration signal is iteratively decomposed into high Q and low Q components. The fault feature is generally hidden in the low Q component. With further demodulation, the fault information of planetary gears can be easily detected. https://et.ippt.pan.pl/index.php/et/article/view/1326wind turbine gearboxplanetary gearsdouble Q factor waveletsparse decomposition |
| spellingShingle | Jin XU Xian DING Zhu ZHANG Lang CHEN Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox Engineering Transactions wind turbine gearbox planetary gears double Q factor wavelet sparse decomposition |
| title | Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox |
| title_full | Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox |
| title_fullStr | Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox |
| title_full_unstemmed | Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox |
| title_short | Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox |
| title_sort | application of double q wavelet based sparse decomposition to fault feature extraction of wind turbine planetary gearbox |
| topic | wind turbine gearbox planetary gears double Q factor wavelet sparse decomposition |
| url | https://et.ippt.pan.pl/index.php/et/article/view/1326 |
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