基于节约覆盖集理论的电力变压器绝缘故障诊断模型

Parsimonious Covering Theory Applied for Identifying Power Transformer Malfunction

介绍了一种在节约覆盖集理论框架上集成概率推理的诊断模型，并在此基础上建立了用于电力设备绝缘故障诊断的实用模型．该模型有利于对电力设备在多因素、多征兆、强干扰条件下的绝缘故障进行诊断推理．由于该模型是以统计数据为依托，并在推理过程中考虑到征兆的不完备性，因此，具有较高的诊断可靠性和实用性．

The parsimonious covering theory integrated with probability is applied to analyze power transformer malfunction. Diagnostic inference based on it is known to prevail for multi symptom and multi fault system. The purposed model improves the reliability and practicality by adopting statistical data and considering the incompleteness of symptom.