首页> 外文会议>2017 5th International Conference on Electrical Engineering - Boumerdes >Soft fault identification in electrical network using time domaine reflectometry and adaptive neuro-fuzzy inference systeme
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Soft fault identification in electrical network using time domaine reflectometry and adaptive neuro-fuzzy inference systeme

机译:基于时域反射法和自适应神经模糊推理系统的电网软故障识别

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The main purpose of this work is to implement a new and accurate approach based on Time Domain Reflectometry (TDR) combined with Adaptive Neuro-Fuzzy Inference System (ANFIS) to solve the problem of soft faults detection and localization on complex wiring electric network. Firstly, the response of the transmission line is given by applying the Finite Difference Time Domain method (FDTD) on the transmission line equations. Then, the ANFIS method is used to solve the inverse problem which permits to detect and localize the soft fault. Finally, very acceptable results are obtained and many problems are solved at the same time as: defining the exact position and exact resistance values of the fault, defining the state of electrical network in the real time.
机译:这项工作的主要目的是基于时域反射法(TDR)结合自适应神经模糊推理系统(ANFIS)实施一种新的准确方法,以解决复杂布线网络中的软故障检测和定位问题。首先,通过对传输线方程应用有限差分时域方法(FDTD)来给出传输线的响应。然后,使用ANFIS方法解决反问题,该反问题允许检测和定位软故障。最终,获得了非常令人满意的结果,同时解决了许多问题:定义故障的确切位置和电阻值,实时定义电网状态。

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