声明电子负载的增长，包括电子驱动器和可编程控制器，导致设备和过程故障的增加。这通常是因为这些设备与其电气环境不兼容。有效地诊断电能质量问题需要广泛的技能。这些技能的知识库是零散的。介绍了从熟悉电能质量问题诊断的人员那里获得的专家知识的组织和存储的格式和方法。 还讨论了一个人工智能程序，该程序使用这种方法分析电能质量调查期间收集的电力波形数据。关键词:1995年，电气装置，电子，设备，人工智能，电力供应:研讨会，ASHRAE Trans。1995年，第101卷，第一部分，论文编号CH-95-1-11525-527

States that the growth of electronic loads, including electronic drives and programmable controllers, has resulted in an increase in equipment and process failures. This is often due to an incompatibility of these devices with their electrical environment. Efficiently diagnosing power quality problems requires an extensive set of skills. The knowledge base for these skills is fragmented and dispersed. Presents a format and methodology for the organisation and storage of expert knowledge obtained from those familiar with the diagnosis of power quality problems. Also discusses an artificially intelligent program that uses this methodology to analyse power waveform data collected during a power quality survey.KEYWORDS: year 1995, Electrical installations, electronic, equipment, artificial intelligence, electricity supply