刘会兰, 常庚垚, 赵书涛, 裘实, 黄伟杰, 刘教民. 动作时序优化振动信号混沌吸引子特征的断路器操动状态辨识方法[J]. 高电压技术, 2024, 50(6): 2635-2644. DOI: 10.13336/j.1003-6520.hve.20231040
引用本文: 刘会兰, 常庚垚, 赵书涛, 裘实, 黄伟杰, 刘教民. 动作时序优化振动信号混沌吸引子特征的断路器操动状态辨识方法[J]. 高电压技术, 2024, 50(6): 2635-2644. DOI: 10.13336/j.1003-6520.hve.20231040
LIU Huilan, CHANG Gengyao, ZHAO Shutao, QIU Shi, HUANG Weijie, LIU Jiaomin. Circuit Breaker Operating State Identification Method Based on Optimized Vibration Signal Chaotic Attractor Characteristics by Action Sequence[J]. High Voltage Engineering, 2024, 50(6): 2635-2644. DOI: 10.13336/j.1003-6520.hve.20231040
Citation: LIU Huilan, CHANG Gengyao, ZHAO Shutao, QIU Shi, HUANG Weijie, LIU Jiaomin. Circuit Breaker Operating State Identification Method Based on Optimized Vibration Signal Chaotic Attractor Characteristics by Action Sequence[J]. High Voltage Engineering, 2024, 50(6): 2635-2644. DOI: 10.13336/j.1003-6520.hve.20231040

动作时序优化振动信号混沌吸引子特征的断路器操动状态辨识方法

Circuit Breaker Operating State Identification Method Based on Optimized Vibration Signal Chaotic Attractor Characteristics by Action Sequence

  • 摘要: 高压断路器分合闸操作过程包括掣子脱扣、弹簧释能、动静触头碰撞等动作,机械振动信号作为能量传递的表现,蕴含着丰富的运行状态信息。该文基于断路器关键动作节点的时序,提出一种动作时序优化振动信号混沌吸引子特征的断路器操动状态辨识方法。首先,由高速相机捕捉断路器操动过程主轴拐臂运动图像,利用目标跟踪算法获取动触头关键运动节点时序指标;然后,依据时序指标划分操动过程,通过对不同阶段的振动信号相空间重构,提取相空间吸引子几何和属性特征;最后,利用智能分类算法进行故障辨识,实验结果验证该方法在大幅节省时间开销的同时,有效提高了分类辨识的准确率达96.9%。该文方法在断路器状态监测和带电测试中具有广阔应用前景。

     

    Abstract: The opening and closing operation process of high-voltage circuit breakers includes actions such as detent release, spring energy release, dynamic and static contact collision and other actions. Mechanical vibration signals, as the performance of energy transfer, contain rich operating status information. In this paper, based on the timing of the key action nodes of the circuit breaker, a circuit breaker operating state identification method is proposed to optimize the attractor characteristics of the vibration signal in the action timing. Firstly, the high-speed camera is used to capture the moving image of the main shaft crank arm during the operation process of the circuit breaker, and the target tracking algorithm is used to obtain the timing index of the key motion node of the moving contact. Then, the operation process is divided according to the timing index, and by reconstructing the phase space of the vibration signal at different stages, phase space attractor geometry and attribute features are extracted. Finally, the intelligent classification algorithm is used for fault identification. The experimental results verify that this method can be adopted to not only greatly save time, but also effectively improve the accuracy of classification identification. The method of this paper has broad application prospects in circuit breaker condition monitoring and live tests.

     

/

返回文章
返回