基于自适应滤波算法的电气仪表故障诊断方法

Fault Diagnosis Method for Electrical Instrument Based on Adaptive Filtering Algorithm

本文提出一种自适应滤波算法,利用该算法分析电气仪表的故障,旨在提高电气仪表的故障诊断效率。首先,记录电气仪表的类型、适用范围、使用年限、所处环境,生产工艺等信息,形成电气仪表的信息集合。其次,利用自适应滤波算法判断电气仪表的故障,确定电气仪表的故障位置,并深入分析故障的原因,为后期维修提供支持。MATLAB仿真显示,在电气仪表类型、适用范围等条件一定的情况下,利用自适应滤波算法能准确地诊断电气仪表,计算结果优于人工电气仪表诊断方法。

This paper proposes an adaptive filtering algorithm to analyze the faults of electrical instruments,aiming at improving the efficiency of fault diagnosis of electrical instruments.First of all,record the type,scope of application,service life,environment,production process and other information of electrical instruments to form an information collection of electrical instruments.Then,the adaptive filtering algorithm is used to judge the fault of the electrical instrument,determine the fault location of the electrical instrument,and analyze the cause of the fault in depth to provide support for later maintenance.MATLAB simulation shows that under certain conditions such as the type and applicability of electrical instruments,the use of adaptive filtering algorithm can accurately diagnose electrical instruments,and the calculation results are superior to artificial electrical instrument diagnosis methods.