Diagnosis and Detection of Short-Circuit in a Three-Phase Induction Machine

Abstract

Due to its simple construction, low cost, manufacture, and its robustness. The use of induction motors is rapidly and increasingly growing in the industry especially in highly important sectors. This leads us to a serious focus on their operation and their availability. The early detection for motor deterioration can increase plant availability and safety in economical way, help to avoid expensive failures, reduce coasts and the fault number. Many publications have investigated the detection and diagnosis of short circuit fault in electrical machines supplied directly online. This paper presents a technique based on spectral analysis of stator currents to detect short-circuit fault in the stator using a mathematical model of three-phase squirrel cage induction motor under stator short-circuit fault. The simulation show the impact and the effectiveness of failure. The tests are validated by numerical simulation and the obtained results clearly show the possibility of extracting signatures to detect and locate faults.