开关柜断路器台车合规性检测的机器人实时检测方法

Kuang Yin, J. Fang, W. Mo, Hong-Bing Wang, Tie Zhang, Mingda Yang
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引用次数: 1

摘要

针对开关柜的合格检测问题,提出了一种基于机器人合格检测方案的实时小波变换检测算法。对卡尔曼滤波后的转矩信号加窗处理。对窗口内的数据进行小波分解重构,最后将窗口末的数据作为实时小波变换的输出。当连续转矩信号高频部分的小波重构幅值超过阈值时,判断开关柜不合格。实验验证了该方法的有效性。实验结果表明,该算法的识别率为100%,延迟在20ms以内。在有阻尼干扰的情况下,识别率仍然保持100%,延迟在30ms以内。与传统的离线小波变换检测算法相比,应用范围更广,鲁棒性更强,能够更有效地保护设备和产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot Real-time Inspection Method for Compliance Inspection of Switchgear Circuit Breaker Trolley
For switchgear conformity inspection, a real-time wavelet transform inspection algorithm based on the robot's qualification inspection scheme is proposed. The torque signal after Kalman filter is windowed. The data in the window is decomposed and reconstructed by wavelet, and the last data at the end of the window is used as the output of real-time wavelet transform. When the wavelet reconstructed amplitude of the high-frequency part of the continuous torque signal exceeds the threshold, it is judged that switchgear is unqualified. The proposed method is verified by experiments. The experimental results show that the recognition rate of the proposed algorithm is 100%, and delay within 20ms. In the case of damped interference, the recognition rate still maintains 100%, and delay within 30ms. Compared with the traditional offline wavelet transform inspection algorithm, it has a wider application range, stronger robustness, and can protect equipment and products more effectively.
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