基于音频识别的无人值守变电站设备在线监测

介绍了无人值守变电站主设备音频在线监测系统的原理与结构,然后重点介绍音频数据的监测与识别过程.首先系统利用传感器采集变电站设备的音频信号,数据采集器把多路音频数据传至监控主机,音频数据经频谱分析和处理后提取到MFCC特征参数作为信号特征,再把特征参数输入正弦基神经网络进行识别,实现高效、准确地判断电气设备运行状态或故障类型.该方法从根本上改进了以往人工监听电气设备判断故障的方法,提高了设备故障检测效率,为及时发现和处理设备故障提供了帮助.

Research on On-line Monitoring of Non-attended Power Substation Based on Audio-recognition

This article introduced the principle and structure of on-line audio monitoring system for electrical equipment in non-attended power substation, then focused on data monitor and recognition. At first, the audio sensors collect the sound data of running electrical equipment of power substation, the audio data input to the monitoring host, and the monitoring host deals with the audio spectrum, analyzing the audio data and recognizing the fault by neural networks based on sine basis function, which can determine the operation status of electrical equipment and the type of fault quickly. Fundamentlly, this method can improve the previous artificial monitoring sound of electrical equipment to determine different type of error, and it also provides help for the timely maintainance and correcting the faults in power substation.