| 直流微电机电枢电流特性及故障多特征量研究; Study on properties of armature current for micro DC motors and multiple features of fault diagnosis | |
| 谢志平 ; 伍卫 ; 洪剑锋 | |
| 2015-08-15 | |
| 关键词 | 直流微电机 故障诊断 电枢电流 多特征量 频域分析 micro direct-current motors fault diagnosis armature current multiple features spectrum analysis |
| 英文摘要 | 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。; 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 method was based on multiple features of the armature current.The analytical expression for the armature current 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 above.The experimental results show that the relative changes of the multiple features in different fault cases are different and the multiple features can be utilized as the fault diagnostic indices.; 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) |
| 语种 | zh_CN |
| 内容类型 | 期刊论文 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/105981]  |
| 专题 | 航空航天－已发表论文 |
| 推荐引用方式 GB/T 7714 | 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, Study on properties of armature current for micro DC motors and multiple features of fault diagnosis[J],2015. |
| APA | 谢志平,伍卫,&洪剑锋.(2015).直流微电机电枢电流特性及故障多特征量研究.. |
| MLA | 谢志平,et al."直流微电机电枢电流特性及故障多特征量研究".(2015). |
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