Fuzzy clustering application on failure rate prediction in water distribution networks

Abstract

In this report a new approach of failure rate prediction is presented based on Fuzzy Clustering technic for a more deterministic and accurate implementation of neuro-fuzzy systems. This technique is compared with two benchmark methods: Artificial Neural Networks (ANN) and Adaptative Neuro-Fuzzy Inference Systems (ANFIS). Furthermore, an analysis of the necessary inputs is carried out with the goal of defining the useful information needed for the models. All these methods are applied to real data of Barcelona water distribution system and the models predictions are compared with calculated pipe failure rate.