融合粗糙集和信息熵的复合绝缘子污闪状态评估

为对恶劣天气频发环境下的在役复合绝缘子进行准确有效的污闪状态评估,针对复杂影响因素的随机性、不确定性和不完备性,提出融合粗糙集和信息熵的复合绝缘子污闪状态在线评估方法。通过构建多维度的绝缘子评价指标体系,在信息熵的观点下确定各条件属性的重要程度,结合粗糙集理论确定属性的相对权重,实现状态评估的定量表示。该方法完全基于数据驱动,能有效避免评估中的主观性问题,并且具有良好的扩展性和容错性。实例分析表明,该方法具有优异的区分度,能够快速可靠地反映复合绝缘子的实际污闪状态。研究成果可为复合绝缘子的检修和维护提供依据。

Pollution Flashover Condition Evaluation of Composite Insulator via Combination of Rough Set and Information Entropy

To accurately and effectively evaluate pollution flashover condition of the in-service composite insulators that work frequently in extreme weather,a corresponding evaluation method combining rough sets and information entropy is proposed with regard to randomness,uncertainty and incompleteness of complex influencing factors.A multidimensional evaluation system of composite insulator is built to ascertain the importance of different condition attributes in the view of information entropy,and the relative weights of the attributes with rough sets theory,thus to realize quantitative expression of condition evaluation.This insulator condition evaluation method is completely based on data driving,so it can effectively avoid the subjectivity in evaluation and has proper expandability and fault tolerance.Application shows the method has excellent discrimination and is capable of reflecting real pollution flashover condition of composite insulator fleetly and accurately.This research may provide a basis for inspection and maintenance of composite insulators.