Accelerated Aging Procedure and Online Method for Stator Insulation Monitoring of Induction Motors

Online methods for stator insulation monitoring have been investigated with increasing interest in the last 15 years. These methods rely on the high-frequency behavior of the electric machine. In converter-fed machines, the high-frequency behavior is visible through the current ringings occurring during the switching commutations of the power electronics. As the lifetime of electric machines can last several decades, a faster way to evaluate insulation monitoring methods is through accelerated aging tests. This work aims to perform an accelerated aging procedure on an induction motor to test an online insulation monitoring method. The motor has a randomly-wound stator winding and it is aged by means of thermal cycles without the need for an oven. A custom converter is employed during the accelerated aging procedure to apply the thermal cycles and to record the current ringings. The proposed insulation monitoring method is based on a metric that quantifies the current ringing variations in a simple manner, following the quasi-linear variation of the parasitic capacitances during the motor aging.

[1]  G. Zanuso,et al.  Evaluation of High-Frequency Current Ringing Measurements for Insulation Health Monitoring in Electrical Machines , 2022, IEEE Transactions on Energy Conversion.

[2]  F. Niu,et al.  An Online Groundwall Insulation Monitoring Method Based on Transient Characteristics of Leakage Current for Inverter-Fed Motors , 2022, IEEE Transactions on Power Electronics.

[3]  Geye Lu,et al.  The Effect and Compensation of Phase Angle Deviation Along the Winding for the Online Stator Insulation Condition Monitoring , 2022, IEEE Transactions on Industrial Electronics.

[4]  Geye Lu,et al.  An Improved Online Stator Insulation Monitoring Method Based on Common-Mode Impedance Spectrum Considering the Effect of Aging Position , 2022, IEEE Transactions on Industry Applications.

[5]  Pinjia Zhang,et al.  Online Condition Monitoring of Line-End Coil Insulation for Inverter-Fed Machine by Switching Oscillation Mode Decomposition , 2022, IEEE Transactions on Industrial Electronics.

[6]  Hao Li,et al.  Online Monitoring of Incipient Turn Insulation Degradation for Inverter-Fed Machine Using Sensitive Tail Component in PWM Switching Oscillations , 2021, IEEE Transactions on Power Electronics.

[7]  Pinjia Zhang,et al.  An Online Groundwall and Phase-to-Phase Stator Insulation Monitoring Method for Inverter-Fed Machine , 2021, IEEE Transactions on Industrial Electronics.

[8]  Antonio J. Marques Cardoso,et al.  Reliable Detection of Stator Interturn Faults of Very Low Severity Level in Induction Motors , 2021, IEEE Transactions on Industrial Electronics.

[9]  M. Galea,et al.  Influence of Insulation Thermal Aging on the Temperature Assessment in Electrical Machines , 2021, IEEE Transactions on Energy Conversion.

[10]  D. F. Kavanagh,et al.  Thermal Degradation Phenomena of Polymer Film on Magnet Wire for Electromagnetic Coils , 2020, IEEE Transactions on Industry Applications.

[11]  Chris Gerada,et al.  Lifetime Estimation of Enameled Wires Under Accelerated Thermal Aging Using Curve Fitting Methods , 2021, IEEE Access.

[12]  Giampaolo Buticchi,et al.  A Time-Saving Approach for the Thermal Lifetime Evaluation of Low-Voltage Electrical Machines , 2020, IEEE Transactions on Industrial Electronics.

[13]  Hong Chen IEEE Press Series on Power Engineering , 2016, Distributed Energy Management of Electrical Power Systems.

[14]  Meng Wang,et al.  Evaluation Method of Stator Insulation for Direct-drive Wind Turbine Generator Based on Accelerated Multi-factor Aging , 2019, 2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP).

[15]  Antonio Griffo,et al.  Online Condition Monitoring for Diagnosis and Prognosis of Insulation Degradation of Inverter-Fed Machines , 2019, IEEE Transactions on Industrial Electronics.

[16]  P. Zanchetta,et al.  Analysis and Detection of Electrical Aging Effects on High-Speed Motor Insulation , 2019, IEEE Transactions on Industry Applications.

[17]  Elias G. Strangas,et al.  A Method for Online Stator Insulation Prognosis for Inverter-Driven Machines , 2018, IEEE Transactions on Industry Applications.

[18]  Zhe Huang,et al.  Modeling and Testing of Insulation Degradation due to Dynamic Thermal Loading of Electrical Machines , 2017 .

[19]  Thomas M. Wolbank,et al.  Evaluation and Current-Response-Based Identification of Insulation Degradation for High Utilized Electrical Machines in Railway Application , 2015, IEEE Transactions on Industry Applications.

[20]  Prabhakar Neti,et al.  Online Broadband Insulation Spectroscopy of Induction Machines Using Signal Injection , 2014, IEEE Transactions on Industry Applications.

[21]  D. F. Kavanagh,et al.  Dielectric Characteristics of Electric Vehicle Traction Motor Winding Insulation Under Thermal Aging , 2016, IEEE Transactions on Industry Applications.

[22]  Thomas M. Wolbank,et al.  Induction Machine Insulation Health State Monitoring Based on Online Switching Transient Exploitation , 2015, IEEE Transactions on Industrial Electronics.

[23]  Eugenia Torello,et al.  Aging Tests on Nanostructured Enamels for Winding Wire Insulation , 2014, IEEE Transactions on Industrial Electronics.

[24]  Pinjia Zhang,et al.  A novel online stator ground-wall insulation monitoring scheme for inverter-fed AC motors , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[25]  D. Roger,et al.  Turn-to-turn capacitance variations correlated to PDIV for AC motors monitoring , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[26]  E Gockenbach,et al.  Behavior of machine insulation systems subjected to accelerated thermal aging test , 2010, IEEE Transactions on Dielectrics and Electrical Insulation.

[27]  D. Roger,et al.  A New Method for AC Machine Turn Insulation Diagnostic Based on High Frequency Resonances , 2007, IEEE Transactions on Dielectrics and Electrical Insulation.

[28]  Jinkyu Yang,et al.  An online groundwall and phase-to-phase insulation quality assessment technique for AC-machine stator windings , 2006, IEEE Transactions on Industry Applications.