会议论文详细信息
| 12th European Workshop on Advanced Control and Diagnosis | |
| Fault Detection in the Blade and Pitch System of a Wind Turbine with H2 PI Observers | |
| Sales-Setién, Ester^1 ; Peñarrocha, Ignacio^1 ; Dolz, Daniel^1 ; Sanchis, Roberto^1 | |
| Dept. of Industrial Systems Engineering and Design, Universitat Jaume i, Castelló, Spain^1 | |
| 关键词: Detection time; False alarm rate; Fault detector; Measurement Noise; Minimum detectable faults; PI observer; Trade off; | |
| Others : https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012033/pdf DOI : 10.1088/1742-6596/659/1/012033 |
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| 来源: IOP | |
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【 摘 要 】
In this work, we present a fault detection strategy applicable to the blade and pitch system in offshore wind turbines. First, we model the system and possible faults and propose a PI observer to identify the faults. Then, the observer is designed accounting the sensors measurement noise, and addressing a trade off between the needs of false alarm rate, minimum detectable fault and detection time. By means of a well known benchmark, several simulations show the goodness of the approach and its flexibility to explicitly fix the fault detector performance.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Fault Detection in the Blade and Pitch System of a Wind Turbine with H2 PI Observers | 690KB |
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