Application of higher order spectral analysis for faults detection in induction motors

Abstract

Detection and identification of induction machine faults through the stator current signal using higher-order spectra analysis is presented. This research proposes two types of engine failures that are broken rotor bars, and rotor unbalance. Several conventional vibration and current analysis techniques exist by which certain faults in rotating machinery can be identified; however, they generally deal with a single fault only. Instead, in real induction machines, the case of multiple faults is common. When multiple faults exist, vibration and current are excited by several fault-related frequencies combined with each other, linearly or nonlinearly. The contribution of this paper is the development of a condition-monitoring strategy that can make accurate and reliable assessments of the presence of specific fault conditions in induction motors with single or multiple faults present.