Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles

Abstract

We present a generic procedure for diagnosing faults using features extracted from noninvasive machine signals, based on supervised learning techniques to build the fault classifiers. An important novelty of our research is the use of 2000 examples o