触电事故特征改进近似熵检测方法
发布时间：2018-08-18 21:17
【摘要】：为了有效减少人身触电事故的发生,针对低压系统,给出一种基于近似熵的触电特征快速检测方法。利用滑动时间窗计算单通道测量所得总剩余电流的近似熵值。根据近似熵变化规律识别触电事故特征。并针对近似熵算法存在的计算冗余问题,提出一种改进近似熵算法,以此减少触电特征检测时间。对IEC人体电阻抗模型、实验用兔和小树枝进行低压实验,并利用数据验证该方法。结果证明,触电特征近似熵检测方法具有噪声鲁棒性、不受总剩余电流幅值和触电方式影响的特点,采用改进近似熵算法缩短了触电特征检测时间,能满足工程应用需要。
[Abstract]:In order to effectively reduce the occurrence of personal electric shock accident, a fast detection method based on approximate entropy for low voltage system is presented. A sliding time window is used to calculate the approximate entropy of the total residual current measured by a single channel. The characteristics of electric shock accident are identified according to the law of approximate entropy change. Aiming at the problem of computational redundancy in the approximate entropy algorithm, an improved approximate entropy algorithm is proposed to reduce the detection time of electric shock features. The IEC human impedance model was tested with rabbit and twigs at low voltage, and the data were used to verify the method. The results show that the proposed method is robust to noise and independent of the amplitude of total residual current and the mode of electric shock. The improved approximate entropy algorithm can shorten the detection time and meet the needs of engineering applications.
【作者单位】： 四川大学电气信息学院;
【基金】：四川省科技支撑计划(2015RZ0055)~~
【分类号】：TM08;TM77
[Abstract]:In order to effectively reduce the occurrence of personal electric shock accident, a fast detection method based on approximate entropy for low voltage system is presented. A sliding time window is used to calculate the approximate entropy of the total residual current measured by a single channel. The characteristics of electric shock accident are identified according to the law of approximate entropy change. Aiming at the problem of computational redundancy in the approximate entropy algorithm, an improved approximate entropy algorithm is proposed to reduce the detection time of electric shock features. The IEC human impedance model was tested with rabbit and twigs at low voltage, and the data were used to verify the method. The results show that the proposed method is robust to noise and independent of the amplitude of total residual current and the mode of electric shock. The improved approximate entropy algorithm can shorten the detection time and meet the needs of engineering applications.
【作者单位】： 四川大学电气信息学院;
【基金】：四川省科技支撑计划(2015RZ0055)~~
【分类号】：TM08;TM77
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