摘要
结合真实井下变电站的情况,将粗糙集和Petri网理论结合提出了一种故障诊断的方法,即利用粗糙集知识约简和处理不确定信息的能力,对变电站的故障诊断知识实现属性优选,获得最小诊断规则,用来建立最优的Petri网模型,并利用Petri网并行推理的能力实现简洁高效的故障诊断。测试表明该方法能有效地缩减求解规模,诊断速度快,正确率高。
According to the actual condition in mine substation, a Rough set and Petri net theory based fault diagnosis method is proposed, i.e., using the ability of Rough set theory in knowledge reduction and indeterminate information processing, optimal seeking of attributes is performed and the minimal diagnosing rules are obtained. Based on these, a Petri net model is established; concise and efficient diagnosis is achieved with its parallel reasoning ability. Tests have shown that this method can effectively reduce the solution scale and has fast calculation speed and high veracity.
出处
《机电一体化》
2008年第9期82-86,共5页
Mechatronics
