Inverter driven electrical machines need resolver for position estimation and efficient electronic commutations. In this paper, the resolver signals are also used for the purpose of mechanical fault diagnosis. Therefore, a comprehensive procedure based on winding function (WF) method is presented to propose a noninvasive index to identify the mechanical fault's type (static/dynamic eccentricity) and even its percentage. In this regard, once the resolver signals are measured and saved in health condition. Then, during the operation of the motor, calculating the proposed index using the healthy and faulty signals leads to predict the fault type and its percentage. The success of the proposed index is verified using transient finite element analysis and experimental measurements on the prototype resolver.

中文翻译：

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使用旋转变压器信号的逆变器驱动电机在线静态/动态偏心故障诊断

逆变器驱动的电机需要旋转变压器来进行位置估计和高效的电子换向。在本文中，旋转变压器信号也用于机械故障诊断。因此，提出了一种基于绕组函数（WF）方法的综合程序，以提出一种非侵入性指标来识别机械故障的类型（静态/动态偏心）甚至其百分比。在这方面，一旦旋转变压器信号被测量并保存在健康状态。然后，在电机运行期间，使用健康和故障信号计算建议指标，从而预测故障类型及其百分比。使用瞬态有限元分析和原型旋转变压器的实验测量验证了所提出指标的成功。