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煤矿短距离供电线路防越级异常机械跳闸自动检测方法

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为避免煤矿供电出现重大事故,确保供电线路安全,提出了煤矿短距离供电线路防越级异常机械跳闸自动检测方法.采用迭代法对观察到的时间序列供电线路数据预处理,剔除其噪声点,获得预处理后的供电线路拟合数据.利用余弦相似性,计算2个供电线路矢量在方向上度量特征之间的异常关联性,得到最终的特征子集,实现对机械跳闸的异常特征提取.将提取到的特征值作为变量,输入到建立的防越级机械跳闸自动检测模型中,计算设备状态量集合和目标函数,完成异常跳闸检测.实验结果表明,所提方法能准确检测出煤矿短距离供电线路防越级异常机械跳闸,及时作出应对措施,保证电力安全稳定运行.
Automatic Detection Method for Preventing Abnormal Mechanical Tripping of Short Distance Power Supply Lines in Coal Mines
In order to avoid major accidents in coal mine power supply and ensure the safety of power supply lines,an automatic detection method for preventing abnormal mechanical tripping of short distance power supply lines in coal mines is proposed.The Iterative method is used to preprocess the observed time series power supply line data,remove its noise points,and obtain the preprocessed power supply line fitting data.The Cosine similarity is used to calculate the abnormal correlation between the two power supply line vectors in the direction measurement features,and the final feature subset is obtained to achieve the abnor-mal feature extraction of mechanical tripping.The extracted feature values as variables are input into the established automatic detection model for preventing mechanical tripping to calculate the set of equipment state variables and objective functions,and complete abnormal tripping detection.The experimental results show that the proposed method can accurately detect the abnormal mechanical tripping of short distance power supply lines in coal mines,take timely response measures to ensure the safe and stable operation of electricity.

short distance power supply lines in coal minesanti-skip trippingautomatic detection of mechanical abnormalitiesresidual sequencecosine similarity

张喜麟、孙海强

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晋能控股煤业集团有限公司,山西 大同 037003

北京国力电气科技有限公司,北京 100070

煤矿短距离供电线路 防越级跳闸 机械异常自动检测 残差序列 余弦相似性

科技项目(2018)

0632-1920FW2L1031-04

2024

机械与电子
中国机械工业联合会科技工作部 机械与电子杂志社

机械与电子

CSTPCD
影响因子:0.243
ISSN:1001-2257
年,卷(期):2024.42(6)
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