基于故障率与故障症的设备故障诊断方法

Fault Diagnosis Method of Equipment Based on Failure Rate and Fault Symptom

传统设备故障诊断方法完全基于故障症状,没有考虑零部件故障率,导致故障诊断的正确率不理想。本文首先基于威布尔分布模型构建了零部件故障率的求解算法,然后运用模糊综合评判方法构建了基于故障症状的故障诊断方法,再将零部件的故障率引入故障诊断模型,最后,通过实例验证了该方法的适用性。由于该故障诊断方法综合考虑了零部件故障率、故障机理。故障症状的明显程度、故障症状现场获取的难易程度等多个因素,其诊断结果的正确性大幅度增加。

The traditional fault diagnosis method is completely based on fault symptoms,and failure rates are not taken into consideration,so the fault diagnosis accuracy is not ideal. An algorithm for calculating the equipment failure rate is firstly constructed based on the Weibull distribution model,then a synthetic fault diagnosis model is presented based on fault rate and fault symptom,and finally,the method is proved to be applicable through an example. The method takes into account failure rate,the fault mechanism,the obviousness degree of fault symptoms and the difficulty in obtaining the fault symptom and other factors,so the fault diagnosis accuracy is improved greatly.