Filtering Technique Based on Adaptive Neural-fuzzy Inference System Applied to Cable Fault Location
Xiaoqin Zhang · Journal of Logistical Engineering University · 2008
There are some difficulties caused by complexity and variety of noise and lower signal-to-noise ratio in the signal processing of cable fault location.The adaptive neural-fuzzy inference system(ANFIS)has the ability of nonlinear mapping and self-learning property and can be used to achieve the nonlinear model of the noise.ANFIS can also solve the problem of uncertainty of noise.This article builds the model of adaptive filter based on ANFIS,and discusses the selection of the type,the number of membership functions and the reference functions in the ANFIS.The hardware and software of filtering system are also designed.At last we use the filtering system to access a factual cable fault signal.The result shows that the filtering system is reliable.