Research on Detection Method for Wind Turbine Rotor Imbalance at 1P Frequency Based on PLC
Through a theory analysis conducted on the aerodynamic imbalance faults of wind turbines, this paper proposes an autocorrelation coefficient approach for detecting rotor imbalance faults at 1P frequency in wind turbines, based on the control of programmable logic controllers (PLC). The amplitude of...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2025-02-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.01.017 |
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| Summary: | Through a theory analysis conducted on the aerodynamic imbalance faults of wind turbines, this paper proposes an autocorrelation coefficient approach for detecting rotor imbalance faults at 1P frequency in wind turbines, based on the control of programmable logic controllers (PLC). The amplitude of root-mean-square (RMS) values from real-time generator speed monitoring was preprocessed, including the elimination of outliers and first-order differencing. The processed data were then employed for the peak detection of the generator speed differences. Moreover, autocorrelation coefficient peaks and frequency were calculated. The results indicated that the differential speed peak of the wind turbine generator with rotor imbalance at 1P frequency during aerodynamic imbalance was greater than 5, and the calculated autocorrelation coefficient was greater than 0.6, indicating a strong correlation and falling within the frequency setting range. The verification results demonstrate the effectiveness of the detection method based on autocorrelation coefficients for monitoring rotor imbalance faults at 1P frequency. |
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| ISSN: | 2096-5427 |