基于免疫系统的旋转机械在线故障诊断

Immune system based approach for on-line fault diagnosis of rotary machinery

受生物免疫系统自己—非己识别过程的启发提出了反面选择算法 ,在故障诊断应用领域中改进了反面选择算法 ,提出了对旋转机械在线故障诊断的新方法 .通过诊断实例表明 ,能对旋转机械故障准确地在线诊断 ,诊断平均准确率达 90 %以上 .

The main task of the immune system is to detect and eliminate the non\|self materials called antigens such as virus and cancer cells which come from the inside and outside of the living system. The negative\|selection algorithm proposed which is inspired by the negative\|selection mechanism of the immune system is able to detect any change. In this paper, the algorithm is improved in order to make it suitable for the fault diagnosis of mechanical equipment. Moreover, based on the improved algorithm, a new method of fault diagnosis of rotary machinery is proposed and its feasibility is proved by on\|line fault diagnosis of rotary machinery successfully. In addition, the method of the novel fault diagnosis can also be applied to other fields.