飞控与探测2026，Vol.9Issue(4)：146-154,9.DOI:10.20249/j.cnki.2096-5974.2026.04.013
基于积分均值法与自适应阈值的电机电流传感器故障诊断
Fault Diagnosis of Motor Current Sensors Based on the Integral Mean Value Method and Adaptive Threshold
摘要
Abstract
This paper addresses potential open-circuit,gain anomaly,and offset faults in the triple-redundant permanent magnet motor current sensors of aviation electromechanical actuators.Cor-responding diagnostic variables are defined for each fault type.The integral mean value method is employed to extract and monitor features such as amplitude and waveform symmetry of the current signal under faulty conditions.The limitations of the traditional integral mean value method in terms of real-time performance for fault diagnosis are analyzed.Building on this,a detection mod-ule incorporating fault counting and adaptive threshold judgment is designed to effectively capture the diagnostic variables.Furthermore,a tuning method for key parameters is proposed,resulting in a concise and easily implementable diagnostic algorithm for these three basic fault types.关键词
三余度永磁电机/电流传感器故障/故障计数/自适应阈值Key words
triple-redundant permanent magnet motor/current sensor fault diagnosis/fault-count-ing method/adaptive threshold scheme分类
航空航天引用本文复制引用
王海清..基于积分均值法与自适应阈值的电机电流传感器故障诊断[J].飞控与探测,2026,9(4):146-154,9.基金项目
国家自然科学基金(52277054) （52277054）
