水轮发电机组故障诊断的反向选择算法

Negative selection algorithm of fault diagnosis for hydroelectric generating set

本文提出了一种水轮发电机组故障诊断的新方法。该方法将生物免疫系统中的“自己_非己”理论应用于水轮发电机组故障诊断中,采用贪婪算法产生检测器集,使得所产生的检测器集能够更好的覆盖各种故障模式,从而实现了对水轮发电机组故障的分类诊断,并通过实例证明了该方法的有效性。文中最后对试验结果做出了分析。

This paper investigates a new method of diagnosis for faults of hydroelectric generating set. Based on the biology immune principlre ＂self-nonself＂ theory is applied to the diagnosis system. A new algorithm of producing detector set which can cover the different fault models is given. The validity of this method has been proved by an example. Some experiment results are discussed.