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http://dx.doi.org/10.7236/JIIBC.2022.22.5.111

Estimation of Motor Deterioration using Pulse Signal and Insulation Resistance Measurement Algorithm  

Jeong, Sungin (Dept. of AI-Automotive Engineering, Gwangju University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.22, no.5, 2022 , pp. 111-116 More about this Journal
Abstract
The causes of motor burnout include overload, phase loss, restraint, interlayer short circuit, winding ground fault, instantaneous overvoltage, and the rotor contacting the stator, leading to insulation breakdown, leading to breakdown or electrical accidents. Therefore, equipment failure causes not only loss due to cost required for equipment maintenance/repair, but also huge economic loss due to productivity decrease due to process stop because the process itself including the motor is stopped. The current level of technology for diagnosing motor failures uses vibration, heat, and power analysis methods, but there is a limit to analyzing the problems only after a considerable amount of time has passed according to the failure. Therefore, in this paper, a device and algorithm for measuring insulation resistance using DC AMP signal was applied to an industrial motor to solve this problem. And by following the insulation resistance state value, we propose a diagnosis of deterioration and failure of the motor that cannot be solved by the existing method.
Keywords
Motor; Insulation Resistance; Deterioration; DC Pulse Signal; Fault Diagnosis;
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