【摘要】：為了有效減少人身觸電事故的發(fā)生,針對低壓系統(tǒng),給出一種基于近似熵的觸電特征快速檢測方法。利用滑動時間窗計算單通道測量所得總剩余電流的近似熵值。根據(jù)近似熵變化規(guī)律識別觸電事故特征。并針對近似熵算法存在的計算冗余問題,提出一種改進(jìn)近似熵算法,以此減少觸電特征檢測時間。對IEC人體電阻抗模型、實(shí)驗(yàn)用兔和小樹枝進(jìn)行低壓實(shí)驗(yàn),并利用數(shù)據(jù)驗(yàn)證該方法。結(jié)果證明,觸電特征近似熵檢測方法具有噪聲魯棒性、不受總剩余電流幅值和觸電方式影響的特點(diǎn),采用改進(jìn)近似熵算法縮短了觸電特征檢測時間,能滿足工程應(yīng)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.
【作者單位】： 四川大學(xué)電氣信息學(xué)院;
【基金】：四川省科技支撐計劃(2015RZ0055)~~
【分類號】：TM08;TM77

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