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Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators

机译:谐波阶次跟踪分析:绕线转子感应发电机状态监测的无速度传感器方法

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摘要

This paper introduces a speed-sensorless method for detecting rotor asymmetries in wound rotor induction machines working under nonstationary conditions. The method is based on the time–frequency analysis of rotor currents and on a subsequent transformation, which leads to the following goals: unlike conventional spectrograms, it enables to show the diagnostic results as a simple graph, similar to a Fourier spectrum, but where the fault components are placed always at the same positions, regardless the working conditions of the machine; moreover, it enables to assess the machine condition through a very small set of parameters. These characteristics facilitate the understanding and processing of the diagnostic results, and thus, help to design improved monitoring and predictive maintenance systems. Also these features make the proposed method very suitable for condition monitoring of wind power generators, because it fits well with the usual nonstationary working conditions of wind turbines, and makes feasible the transmission of significant diagnostic information to the remote monitoring center using standard data transmission systems. Simulation results and experimental tests, carried out on a 5-kW laboratory rig, show the validity of the proposed method and illustrate its advantages regarding previously developed diagnostic methods under nonstationary conditions.
机译:本文介绍了一种用于在非平稳条件下工作的绕线转子感应电机中检测转子不对称性的无速度传感器方法。该方法基于转子电流的时频分析和随后的变换,从而实现了以下目标:与传统的频谱图不同,它可以将诊断结果显示为类似于傅立叶频谱的简单图形,但是无论机器的工作条件如何,故障组件始终放置在相同的位置;而且,它可以通过很少的一组参数来评估机器状态。这些特征有助于对诊断结果的理解和处理,从而有助于设计改进的监视和预测性维护系统。这些特征还使所提出的方法非常适合于风力发电机的状态监视,因为它非常适合风力涡轮机的通常的非平稳工作条件,并且使得可以使用标准数据传输系统将重要的诊断信息传输到远程监视中心。 。在5 kW的实验室设备上进行的仿真结果和实验测试证明了该方法的有效性,并说明了其在非平稳条件下相对于以前开发的诊断方法的优势。

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