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Research on Fault Diagnosis Method of Spacecraft Solar Array Based on f-KNN Algorithm

机译:基于F-KNN算法的航天器太阳能阵列故障诊断方法研究

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Due to the limited data variables of the spacecraft solar array, a comparison was made between the maximum power point voltage and current data of the solar array in the case of normal, short circuit, and irradiation failure. The maximum power point voltage and current data are used as the description of faults as the basis for fault diagnosis. Because of the cross-over phenomenon of the fault samples, the fuzzy K nearest neighbor algorithm was adopted to ensure the simplicity and online realizable as well as improve the accuracy of the diagnosis. The simulation results show the effectiveness of the algorithm by taking the actual simulated fault samples as an example.
机译:由于航天器太阳能阵列的有限数据变量,在正常,短路和辐照失效的情况下,在太阳能阵列的最大功率点电压和电流数据之间进行比较。最大功率点电压和电流数据用作故障描述为故障诊断的基础。由于故障样本的交叉现象,采用模糊k最近邻算法来确保简单和在线可实现,提高诊断的准确性。仿真结果通过以实际模拟的故障样本为例显示算法的有效性。

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