Fault Prediction in the Telephone Access Loop Using a Neural Network

摘要

Fault prediction is a vital component of proactive maintenance in the telephone access loop. In dication of line problems are found by regularly measuring line parameters such as resistance and voltage. the suggested technique uses preprocessed line measurements as input to a neural network. Line repair records are used as fault indications when creating the trainign and test data set for the neural network. The collected data is found to be inconsistent and noisy. This limits the achievable correctnes of the resutls. The method uses multiple measurements of hte same line. Using hidden layers in the neural network was not found to improve the results significantly. The resuts show that around 25 - 50