基于时间参数融合的电磁继电器故障检测

A Fault Detection of Electromagnetic Relay Based on Time Parameter Fusion

针对单一特征难以综合反映电磁继电器退化故障的问题,依据继电器故障机理选取吸合时间、释放时间、超程时间为多元故障特征变量,提出一种基于时间参数融合的电磁继电器故障检测方法。首先,考虑退化故障的模糊不确定性,根据退化特征的模糊阈值构造模糊隶属度函数,求取其数据对继电器工作状态的隶属度,并表示为故障证据;然后,应用证据推理算法,融合多特征故障证据得到继电器故障信息;最后,通过迭代融合历史、当前以及预测的下一时刻的故障信息得到故障检测结果,并自适应调整故障信息的可靠度,兼顾检测结果的可靠性和灵敏度。实验结果表明,所提方法的误报率为5.2%,漏报率为2.0%,与现有方法相比,在准确性和抗干扰能力上具有显著优势,能够有效提高电磁继电器退化故障的检测性能。

It is difficult for a single feature to comprehensively reflect the degradation fault of electromagnetic relay.A fault detection method of electromagnetic relay is proposed based on time parameter fusion by selecting the pick-up time,release time and super-path time as multiple fault characteristic variables according to the fault mechanism of relay.Firstly,in consideration of the fuzzy uncertainty of the degraded fault,the fuzzy membership function is constructed according to the fuzzy threshold of the feature,and the membership degree of the data to the working state of the relay is obtained and expressed as fault evidence,and then the evidence reasoning algorithm is applied to the fusion of the multi-feature fault evidence to get the relay fault information.Finally,the fault detection results are obtained by iteratively fusing the historical,current and predicted fault information,and adaptively adjust the reliability of the fault information,taking into account the reliability and sensitivity of the detection results.The experimental results show that the proposed method is 5.2%in mistake report rate,2.0%in failure to report rate,has significant advantages in accuracy and anti-interference ability,and can effectively improve the performance of electromagnetic relay degradation fault detection.