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[1]谢志平,伍卫,洪剑锋.直流微电机电枢电流特性及故障多特征量研究[J].电机与控制学报,2015,19(08):107-114.[doi:10. 15938 / j. emc. 2015. 08. 016]
 XIE Zhi-ping,WU Wei,HONG Jian-feng. Study on properties of armature current for micro DC motors and multiple features of fault diagnosis[J].,2015,19(08):107-114.[doi:10. 15938 / j. emc. 2015. 08. 016]
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直流微电机电枢电流特性及故障多特征量研究

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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
19
期数:
2015年08
页码:
107-114
栏目:
出版日期:
2015-12-23

文章信息/Info

Title:
 Study on properties of armature current for micro DC motors and

multiple features of fault diagnosis

作者:
 谢志平 伍卫 洪剑锋
 1. 厦门大学 物理与机电工程学院,福建 厦门 361005; 2. 贵州师范大学 机械与电气工程学院,贵州 贵阳 550001
Author(s):
 XIE Zhi-ping12 WU Wei1 HONG Jian-feng1
 1. School of Physics and Mechanical & Electrical Engineering,Xiamen University,Xiamen 361005,China; 2. School of Mechanical & Electrical Engineering,Guizhou Normal University,Guiyang 550001,China
关键词:
 直流微电机 故障诊断 电枢电流 多特征量 频域分析
Keywords:
 micro direct-current motors fault diagnosis armature current multiple features spectrum a-

nalysis

分类号:
TP 307
DOI:
10. 15938 / j. emc. 2015. 08. 016
文献标志码:
A
摘要:
 针对直流微电机生产线上故障检测环节难以自动化的问题,提出一种基于故障多特征量的 直流微电机故障诊断模型。通过分析空载和稳态下直流微电机的动态数学模型,推导出电枢电流 的时域解析式,确定基于电枢电流的频域故障多特征量。以数台直流微电机为实验样本,分析其电 枢电流时频域特征,对典型故障直流微电机运用定义的故障多特征量进行故障分析。实验结果表 明不同故障电机的多特征量变化率明显不同,该故障多特征量可以被用来诊断直流微电机。
Abstract:
 A fault diagnostic model for the micro direct-current motor ( MDCM) was presented,which is used to solve the problem that MDCMs can’t be automatically inspected on the production line. The meth-od was based on multiple features of the armature current. The analytical expression for the armature cur-rent was obtained from the dynamic model of MDCM under no-load and steady-state operation conditions. The multiple features based on the armature current were confirmed. The experiments on several motors with the representative failures were studied. The time-frequency domain features of the current for the MDCM were analyzed. The fault mechanism were analyzed by using the multiple features mentioned a-bove. The experimental results show that the relative changes of the multiple features in different fault ca-ses are different and the multiple features can be utilized as the fault diagnostic indices.

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备注/Memo

备注/Memo:
收稿日期: 2014 - 07 - 10

基金项目: 福建省科技厅重大项目( 2014H6026) ; 贵州教育厅自然科学研究项目( 黔教合 KY 字( 2012) 075 号)

作者简介: 谢志平( 1980—) ,男,博士研究生,副教授,研究方向为电机故障诊断;

伍 卫( 1982—) ,男,博士研究生,讲师,研究方向为电机故障诊断。 洪剑锋( 1989—) ,男,博士研究生,研究方向为电力电子。
更新日期/Last Update: 2016-03-07