Identification Of Changes In The Parameters Of Induction Motors During Monitoring By Measuring The Induction Of A Magnetic Field On The Stator Surface

2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES) Pub Date : 2019-09-01 DOI:10.1109/MEES.2019.8896554

O. Chorna, O. Chornyi, V. Tytiuk

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引用次数: 11

Abstract

The paper presents an analysis of the measured induction of the magnetic field on the stator surface of an induction motor, according to monitoring data, and signal extraction, which reflects the change in motor parameters to predict its condition, period and further operation. “Step- detection” algorithms allow you to determine the point of change of parameters. It is established that the process of analyzing the signal is influenced by noise caused by the presence of working electrical equipment and its on-off. Conducting a signal filtering with a moving average method with different weights can double the accuracy of the result. The combination of the Changepoint and CUSUM methods for determining the point of change of the signal can significantly improve the accuracy, as well as the calculation of the values of the initial and final signal levels. For this, the signal change point is localized based on the cumulative sum method by the CUSUM function, and then refined using the Changepoint function. The results obtained allow us to quantify the performance of the induction motor.

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通过测量定子表面磁场感应来识别监测过程中感应电机参数的变化

本文根据监测数据，对感应电动机定子表面磁场感应量进行分析，并进行信号提取，反映电机参数的变化，预测电机的状态、周期和进一步运行。“步进检测”算法允许您确定参数的变化点。确定了信号分析过程受到工作电气设备及其开关所产生的噪声的影响。用不同权重的移动平均方法进行信号滤波，可以使滤波结果的精度提高一倍。结合Changepoint和CUSUM方法确定信号的变化点，可以显著提高精度，以及信号初始电平和最终电平值的计算。为此，利用CUSUM函数基于累积和法对信号变化点进行定位，然后利用Changepoint函数对信号变化点进行细化。所得结果使我们能够量化感应电动机的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES)

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