Online Condition Monitoring for Diagnosis and Prognosis of Insulation Degradation of Inverter-Fed Machines
Online Condition Monitoring for Diagnosis and Prognosis of Insulation Degradation of Inverter-Fed Machines
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DOI：
10.1109/tie.2018.2885740
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发表时间：
2019-10
影响因子：
7.7
通讯作者：
I. Tsyokhla;A. Griffo;Jiabin Wang
中科院分区：
文献类型：
--
作者：
I. Tsyokhla;A. Griffo;Jiabin Wang
随着现代传动系统对高可用性和可靠性要求的提高，绕组绝缘状态的实时监测成为一个重要的研究课题。提出了一种基于多频测量等效绝缘接地电容和损耗因数的低压变频电机接地绝缘监测新方法。监测应用于四个电机定子样品，这些样品经受加速老化直至失效。通过电容和耗散参数连续跟踪绝缘退化。建立了接地墙绝缘电容与最终寿命之间的联系。电容级数与其在最终机器故障的值之间的关系被用来开发最终故障时间的预测方法。
Real-time winding insulation condition monitoring is becoming an important research topic in response to increase in high availability and reliability demands in modern drives. In this paper, a novel method is proposed to monitor ground-wall insulation of low-voltage inverter-fed machines based on a multifrequency measurement of equivalent insulation ground-wall capacitance and dissipation factor. The monitoring is applied to four machine stator samples subjected to accelerated aging until failure. Insulation degradation is continuously tracked via the capacitance and dissipation parameters. A link between ground-wall insulation capacitance and final lifetime is established. The relationship between capacitance progression and its value at the final machine failure is used to develop a method for the prognosis of the final failure time.