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Substation Equipment Abnormal Voice Analysis Method Based on Image Processing

机译:基于图像处理的变电站设备语音异常分析方法

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An audio signal analysis method using digital image processing technology is proposed, which is used to detect the abnormal signal of substation equipment. First of all, the sound signal acquisition with pickups that robot carrying. Secondly, the waveform of the sound signal is transformed into the image, and the image processing technique is used to process the image, and then the horizontal projection of the waveform image are analyzed. Finally, edge detection and Hough line detection are performed on the horizontal projection, the ratio of area which the line segment is calculated. The ratio of the area compare with the set threshold value, which greater than the threshold value is abnormal signal. The experimental results show that the algorithm can achieve the abnormal analysis of the sound signal, and the algorithm is simple and accurate.
机译:提出了一种采用数字图像处理技术的音频信号分析方法,用于检测变电站设备的异常信号。首先,用机器人携带的拾音器采集声音信号。其次,将声音信号的波形转换为图像,然后使用图像处理技术对图像进行处理,然后分析波形图像的水平投影。最后,对水平投影进行边缘检测和霍夫线检测,计算出线段的面积比。面积比与设置的阈值比较,该阈值大于阈值即为异常信号。实验结果表明,该算法可以实现声音信号的异常分析,算法简单,准确。

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