高功率密度发电机测试集优化方法研究

Research on Test Set Optimization Method of High Power Density Generator

摘要:

针对高功率发电机开展测试性设计分析对提升其维修保障性水平具有重要意义。通过对高功率密度发电机的故障模式开展分析,得到发电机的典型故障模式,针对各故障模式总结了发电机故障检测所需监测的物理参数。然后,通过构建多信号流模型和开展故障-测试相关性分析对发电机测点进行改进,提出了基于故障-测试相关矩阵(D矩阵)的测试集优化方法。该方法通过合理优化测点集可提升测点对故障模式的覆盖水平并减少冗余测点。最后,通过测试性预计对比了改进前后发电机的故障检测率和故障隔离率指标,验证了提出的测点改进方法提升高功率密度发电机测试性水平的有效性,为发电机的测试性改进设计提供技术支持。

Abstract:

Research on testability design analysis of high-power generator is of great significance to improve its maintenance supportability level. By analyzing the fault modes of high power density generator, the typical fault modes of generator are obtained. For each fault mode, the physical parameters to be monitored for generator fault detection are summarized. Then, through the construction of multi signal flow model and fault test correlation analysis, the generator measurement points are improved, and a measurement point improvement method based on D matrix is proposed. By reasonably optimizing the measuring points, this method can improve the coverage level of the measuring points to the fault mode and reduce the redundant measuring points. Finally, through testability prediction, the indexes of fault detection rate and fault isolation rate of generator before and after improvement are compared. Finally, it is verified that the proposed measurement point improvement method can effectively improve the testability level of high-power density generator and provide technical support for testability design of generator.