基于专家系统软件的电机绝缘状态评估

B. Lloyd, G. Stone, J. Stein
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引用次数: 6

摘要

开发了一个专家系统,帮助维修人员诊断额定电压为2300 V及以上的电动机和汽轮发电机转子和定子绕组的状况。被称为MICAA的专家系统使用了一种被发现对诊断医学问题有效的方法,并且已被证明是比诊断应用的印刷手册更好的媒介。用户与程序交互以输入机器铭牌信息、运行状态和任何可用的过去测试数据。此外,该程序还建议可能有用的测试,以及指导维护人员在机器的目视检查中寻找什么。专家系统存储并关联所有这些信息,计算定子和转子绕组的整体状况,并确定任何恶化的最可能的具体原因。后者对于确定需要进行哪些维护或操作更改以延长绕组寿命非常有用。除了诊断能力之外,该程序的全面技术帮助和将测试数据存储在永久数据库中的能力也使用户受益。专家系统目前主要由美国电力公司的200多名维修人员使用。本文首先介绍了该领域专家系统开发的原因,然后介绍了该专家系统作为电机和发电机状态评估的预防性维护工具的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motor insulation condition assessment using expert systems software
An expert system has been developed which helps maintenance personnel diagnose the condition of rotor and stator windings in motors and turbine generators rated 2300 V and above. The expert system, called MICAA, uses an approach which has been found to be effective for diagnosing medical problems, and which has proven to be a much better medium than a printed handbook for diagnostic applications. The user interacts with the program to input machine nameplate information, operating status, and any past test data that is available. In addition, the program suggests tests which may be useful, as well as guiding maintenance personnel on what to look for in visual inspections of the machine. The expert system stores and correlates all this information, calculates the overall condition of both the stator and rotor windings, and identifies the most likely specific causes of any deterioration. The latter is very useful for determining what maintenance or operating changes are needed to extend winding life. In addition to its diagnostic capability, the program's comprehensive technical help and the ability to store test data in a permanent database have also been of benefit to users. The expert system is now being used by over 200 maintenance personnel primarily in power utility companies in the United States. This paper first describes the reason for the development of an expert system in this area, and then describes its application as a preventive maintenance tool for motor and generator condition assessment.<>
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