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飞机交流发电机是飞机电源系统中最重要的部件,它的工作状态直接影响到整个飞机机载设备的运行状况和飞行安全,因此研究交流发电机的异常检测技术具有十分重要的意义。针对飞机交流发电机日常维护中传统的检测和分析方法的不足,本文提出将符号化时间序列分析方法应用于飞机交流发电机的异常检测中,引进表征符号总体特征的Shannon熵对交流发电机的健康状况进行评估。
Aircraft alternator is the most important component of the aircraft power system, and its working status directly affects the operation status and flight safety of the entire aircraft. Therefore, it is of great significance to study the abnormal detection technology of alternator. Aiming at the shortcomings of the traditional detection and analysis methods in the routine maintenance of aircraft alternators, this paper proposes to apply the symbolic time series analysis method to the abnormality detection of aircraft alternators, and introduces the Shannon entropy that characterizes the overall characteristics of the alternators Health status is assessed.