Online monitoring of AC motor grounding insulation based on switch oscillating current

LI Zhengda; ZHANG Xuhao; JIANG Zhouyu; WANG Mengqian; HUO Ke; LIN Ziqi

doi:10.13890/j.issn.1000-128X.2024.02.015

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Online monitoring of AC motor grounding insulation based on switch oscillating current

Health and Diagnosis | 更新时间：2024-08-02

- Online monitoring of AC motor grounding insulation based on switch oscillating current
- Electric Drive for Locomotives Issue 2, Pages: 126-131(2024)
- 作者机构：
  
  1.中车青岛四方车辆研究所有限公司，山东青岛 266000
  2.西南交通大学电气工程学院，四川成都 610031
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2024.02.015
  CLC： U292.91⁺4;TM34
- Published：10 March 2024，
  
  Received：19 December 2023，
  
  Revised：02 February 2024，
- 稿件说明：
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李政达, 张旭浩, 江周余, 等. 基于开关振荡电流的交流电机主绝缘在线监测[J]. 机车电传动, 2024(2): 126-131.

LI Zhengda, ZHANG Xuhao, JIANG Zhouyu, et al. Online monitoring of AC motor grounding insulation based on switch oscillating current[J]. Electric drive for locomotives,2024(2): 126-131.
李政达, 张旭浩, 江周余, 等. 基于开关振荡电流的交流电机主绝缘在线监测[J]. 机车电传动, 2024(2): 126-131. DOI：10.13890/j.issn.1000-128X.2024.02.015.

LI Zhengda, ZHANG Xuhao, JIANG Zhouyu, et al. Online monitoring of AC motor grounding insulation based on switch oscillating current[J]. Electric drive for locomotives,2024(2): 126-131. DOI：10.13890/j.issn.1000-128X.2024.02.015.

摘要

在变频驱动系统中，由于功率器件高速开关产生的高d

和瞬态过电压，会使电机绝缘部件承受较高的电应力，加速电机绝缘材料的老化，进而增加绝缘故障发生概率并危害驱动系统的整体可靠性。相较于传统的离线监测方法，对电机绝缘状态进行在线监测可以提高监测的实时性并减小停机维修的损失。因此，文章提出一种基于逆变器开关振荡电流的交流电机主绝缘在线监测方法。首先，建立了交流电机绝缘等效电路，分析了绝缘老化对电机阻抗特性的影响，并通过外部并联电容的方法模拟了绝缘老化的过程。然后，采用脉冲宽度调制（PWM），研究了电机主绝缘参数对开关振

荡电流的影响，提出了以开关振荡电流频域偏差作为老化特征指标的在线监测方法。试验证明，该方法在不影响电机正常运行的前提下，可以对电机主绝缘老化状态进行有效监测。

Abstract

In the variable frequency drive system

the high d

and transient overvoltage generated by the high-speed switch of the power device will make the motor insulation parts withstand high electrical stress

accelerate the aging of the motor insulation materials

and then increase the probability of insulation failure and harm the overall reliability of the drive system. Compared with the traditional offline monitoring method

online monitoring of motor insulation states can improve the real-time monitoring performance and reduce the loss of shutdown maintenance. Therefore

this paper presents a method of online monitoring of AC motor grounding insulation based on inverter switch oscillating current. First

the authors established an AC motor insulation equivalent circuit

analyzed the influence of insulation aging on the impedance of AC motor

and simulated the insulation aging process by connecting external capacitors in parallel. Then

the influence of the motor grounding insulation parameters on the switch oscillating current under pulse width modulation (PWM) was analyzed

and proposed an online monitoring method with the frequency domain deviation of switch oscillating current as the aging characteristic index. This test shows that this method can effectively monitor the aging state of the motor grounding insulation without affecting the normal operation of the motor.

关键词

交流电机绝缘老化在线监测电流响应逆变器高速列车

Keywords

AC motorinsulation agingonline monitoringcurrent responseinverterhigh-speed train

references

YOUNSI K, NETI P, SHAH M, et al. On-line capacitance and dissipation factor monitoring of AC stator insulation[J]. IEEE transactions on dielectrics and electrical insulation, 2010, 17(5): 1441-1452.

YANG J, CHO J, LEE S B, et al. An advanced stator winding insulation quality assessment technique for inverter-fed machines[J]. IEEE transactions on industry applications, 2008, 44(2): 555-564.

GEIMAN J. DC step-voltage and surge testing of motors[R/OL]. (2007-03-01) [2024-01-21]. https://www.efficientplantmag.com/2007/03/dc-step-voltage-and-surge-testing-of-motors/https://www.efficientplantmag.com/2007/03/dc-step-voltage-and-surge-testing-of-motors/.

GANDHI A, CORRIGAN T, PARSA L. Recent advances in modeling and online detection of stator interturn faults in electrical motors[J]. IEEE transactions on industrial electronics, 2011, 58(5): 1564-1575.

MIRZAEVA G, SAAD K I. Advanced diagnosis of stator turn-to-turn faults and static eccentricity in induction motors based on internal flux measurement[J]. IEEE transactions on industry applications, 2018, 54(4): 3961-3970.

BARATER D, ARELLANO-PADILLA J, GERADA C. Incipient fault diagnosis in ultrareliable electrical machines[J]. IEEE transactions on industry applications, 2017, 53(3): 2906-2914.

STONE G C. Condition monitoring and diagnostics of motor and stator windings - a review[J]. IEEE transactions on dielectrics and electrical insulation, 2013, 20(6): 2073-2080.

GRUBIC S, ALLER J M, LU Bin, et al. A survey on testing and monitoring methods for stator insulation systems of low-voltage induction machines focusing on turn insulation problems[J]. IEEE transactions on industrial electronics, 2008, 55(12): 4127-4136.

PERISSE F, WERYNSKI P, ROGER D. A new method for AC machine turn insulation diagnostic based on high frequency resonances[J]. IEEE transactions on dielectrics and electrical insulation, 2007, 14(5): 1308-1315.

TSYOKHLA I, GRIFFO A, WANG Jiabin. Online condition monitoring for diagnosis and prognosis of insulation degradation of inverter-fed machines[J]. IEEE transactions on industrial electronics, 2019, 66(10): 8126-8135.

NUSSBAUMER P, VOGELSBERGER M A, WOLBANK T M. Induction machine insulation health state monitoring based on online switching transient exploitation[J]. IEEE transactions on industrial electronics, 2015, 62(3): 1835-1845.

ZOELLER C, VOGELSBERGER M A, FASCHING R, et al. Evaluation and current-response-based identification of insulation degradation for high utilized electrical machines in railway application[J]. IEEE transactions on industry applications, 2017, 53(3): 2679-2689.

LI Hao, XIANG Dawei, YANG Xingwu, et al. Compressed sensing method for IGBT high-speed switching time on-line monitoring[J]. IEEE transactions on industrial electronics, 2018, 66(4): 3185-3195.

XIANG Dawei, LI Hao, YAN Hao, et al. Online monitoring of incipient turn insulation degradation for inverter-fed machine using sensitive tail component in PWM switching oscillations[J]. IEEE transactions on power electronics, 2021, 36(8): 8730-8742.

STONE G C, CULBERT I, BOULTER E A, et al. Electrical insulation for rotating machines: design, evaluation, aging, testing, and repair[M]. Hoboken: Wiley-IEEE Press, 2014.

ZHENG Dayong, ZHANG Pinjia. An online groundwall and phase-to-phase stator insulation monitoring method for inverter-fed machine[J]. IEEE transactions on industrial electronics, 2021, 68(6): 5303-5313.

ZOELLER C, VOGELSBERGER M A, WOLBANK T M. Monitoring of thermal degraded AC machine winding insulation by inverter pulse excitation[C]//IEEE. 2016 XXII International Conference on Electrical Machines. Lausanne: IEEE, 2016: 1119-1125.

RAN L, GOKANI S, CLARE J, et al. Conducted electromagnetic emissions in induction motor drive systems. I. time domain analysis and identification of dominant modes[J]. IEEE transactions on power electronics, 1998, 13(4): 757-767.

裴雪军, 康勇, 熊健, 等. PWM逆变器共模传导电磁干扰的预测[J]. 中国电机工程学报, 2004, 24(8): 83-88.

PEI Xuejun, KANG Yong, XIONG Jian, et al. Prediction of common mode conducted EMI in PWM inverter[J]. Proceedings of the CSEE, 2004, 24(8): 83-88.

COSTA F, MAGNON D. Graphical analysis of the spectra of EMI sources in power electronics[J]. IEEE transactions on power electronics, 2005, 20(6): 1491-1498.

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