  Most transformer failures are attributed to bushings failures. Hence it is
necessary to monitor the condition of bushings. In this paper three methods are
developed to monitor the condition of oil filled bushing. Multi-layer
perceptron (MLP), Radial basis function (RBF) and Rough Set (RS) models are
developed and combined through majority voting to form a committee. The MLP
performs better that the RBF and the RS is terms of classification accuracy.
The RBF is the fasted to train. The committee performs better than the
individual models. The diversity of models is measured to evaluate their
similarity when used in the committee.
