基于小波分析的输变电设备运行状态在线监测方法

On Line Monitoring Method for Operation State of Power Transmission and Transformation Equipment Based on Wavelet Analysis

常规的输变电设备运行在线监测模型多为目标性的监测处理,监测结构并不灵活,对于监测对象的定位也并不精准,导致监测耗时延长,为此提出对基于小波分析的输变电设备运行状态在线监测方法的设计和分析。针对设备运行监测的需求及标准,布设随机分布监测节点,对捕捉的周期监测信号解析,构建多层级的监测处理模式,分层对监测对象做出定位,设计小波变换在线监测模型,采用流形波段标定实现监测处理。相较于于传统SVMClara模型输变电设备在线监测组、传统智能感知输变电设备在线监测组,所设计的基于小波分析的输电设备在线监测组最终得出的监测耗时较好的控制在了1.3 s以下,说明在对应的监测过程中小波分析细化对应的监测环节,通过双向测算的方式获取监测结果,更加真实、可靠,监测速度快,误差小,具有实际的应用意义。

Most of the conventional online monitoring models for the operation of power transmission and transformation equipment are targeted for monitoring and processing,the monitoring structure is not flexible,and the positioning of the monitoring object is not accurate,which leads to prolonged monitoring time.Therefore,the design and analysis of the online monitoring method for the operation status of power transmission and transformation equipment based on wavelet analysis is proposed.According to the requirements and standards of equipment operation monitoring,randomly distributed monitoring nodes are arranged,the captured periodic monitoring signals are analyzed,a multi-level monitoring and processing mode is constructed,the monitoring objects are positioned hierarchically,the wavelet transform online monitoring model is designed,and the monitoring processing is realized by using manifold band calibration.Compared with the traditional SVM Clara model online monitoring group for power transmission and transformation equipment and the traditional intelligent sensing online monitoring group for power transmission and transformation equipment,the monitoring time of the transmission equipment online monitoring group designed in this paper is better controlled within 1.3 seconds,which indicates that in the corresponding monitoring process,wavelet analysis refines the corresponding monitoring links and obtains the monitoring results through two-way measurement,It is more real and reliable,with fast monitoring speed and small error,and has practical application significance.