Gear Tooth Surface Damage Fault Detection Using Induction Machine Stator Current Space Vector Analysis
Gear Tooth Surface Damage Fault Detection Using Induction Machine Stator Current Space Vector Analysis
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DOI：
10.1109/tie.2014.2360068
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发表时间：
2015-03-01
影响因子：
7.7
通讯作者：
Capolino, Gerard-Andre
中科院分区：
文献类型：
--
作者：
Kia, Shahin Hedayati;Henao, Humberto;Capolino, Gerard-Andre
提出了一种基于定子电流空间矢量分析的齿轮齿面损伤故障无损诊断技术。初步研究了从动电机机械转矩试验中齿轮齿面损伤故障产生的转矩振荡波形。该曲线由故障产生的机械冲击和随后的阻尼振荡组成，阻尼振荡可以通过机械系统扭转固有频率和阻尼因子来识别。通过理论的发展，它表明，这种特殊形状的周期性行为产生故障相关的频率在定子电流和谐波整数倍的旋转频率在定子电流空间矢量瞬时频率。通过数值模拟，预测了齿轮齿面损伤故障的特征。仿真结果通过实验测试进行了验证，说明了一种可能的非侵入性齿轮齿面损伤故障检测与入侵方法的故障灵敏度相媲美。一个专门的实验装置，这是基于一个250 W的鼠笼式三相感应电机，是轴连接到一个单级齿轮，已被用于此目的。
A noninvasive technique for the diagnosis of gear tooth surface damage faults based upon the stator current space vector analysis is presented. The torque oscillation profile produced by the gear tooth surface damage fault in the mechanical torque experimented by the driven electrical machine is primarily investigated. This profile consists of a mechanical impact generated by the fault followed by a damped oscillation that can be identified through the mechanical system torsional natural frequency and damping factor. Through theoretical developments, it is shown that the periodic behavior of this particular shape produces fault-related frequencies in the stator current and harmonics integer multiple of the rotation frequency in the stator current space vector instantaneous frequency. The fault signature related to the gear tooth surface damage fault is predicted through the numerical simulation. The simulation results are validated through experimental tests, illustrating a possible noninvasive gear tooth surface damage fault detection with a fault sensitivity comparable to invasive methods. A dedicated experimental setup, which is based on a 250-W squirrel-cage three-phase induction machine that is shaft connected to a single-stage gear, has been used for this purpose.