Three-Phase Unbalance Analysis Method Based on Three-Phase Motor Current Instantaneous Information

Author:

Zhang Xun1ORCID,Xu Guanghua12,Chen Xiaobi1ORCID,Chen Ruiquan1,Chen Shengchao1,Zhang Sicong1

Affiliation:

1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

2. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Abstract

Motor current signal analysis is a common method that can be applied to the monitoring and diagnosis of electromechanical equipment. Three-phase unbalance will increase the line power loss and affect the safe operation of power-using equipment. To quickly analyze motor current three-phase unbalance, we propose a method to analyze three-phase unbalance by calculating the coefficient of variation of the three-phase current’s instantaneous frequency and instantaneous amplitude. Simulations were conducted to analyze the effects of amplitude deviation and phase deviation on the coefficient of variation of instantaneous frequency and instantaneous amplitude. The three-phase unbalance with continuous amplitude change was simulated and its instantaneous performance was analyzed. Experiments were conducted to compare and analyze the instantaneous information characteristics of the motor with the continuous changing of three-phase unbalance under different speed conditions. Simulations and experiments show that the proposed method in this paper can analyze three-phase unbalance.

Funder

the Key Projects in Shaanxi Province

the Science and Technology Plan Project of Xi’an

the National Key Research and Development Program of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference25 articles.

1. Detection of deterioration of three-phase induction motor using vibration signals;Glowacz;Meas. Sci. Rev.,2019

2. Vibration and motor current analysis of induction motors to diagnose mechanical faults;J. Meas. Eng.,2014

3. Bearing fault detection using wavelet packet transform of induction motor stator current;Zarei;Tribol. Int.,2007

4. Current signature analysis to detect induction motor faults;Thomson;IEEE Ind. Appl. Mag.,2001

5. Kryter, R., and Haynes, H. (1989). Condition Monitoring of Machinery Using Motor Current Signature Analysis, Oak Ridge National Lab.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3