In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from...

In this paper, an accurate method is presented for fault locating in transmission

lines by using a simple instance-based learning algorithm. Features of patterns are adopted

based on harmonic spectra extracted by applying the S...