Combined Electrical Faults Detection and Diagnosis Using Current Signature Analysis

Abstract

Safety, disponibility, and continuity of industrial systems are major concern topics in maintenance". A key entity in the production chain is the asynchronous machine. Because of its critical role in different areas of production, its maintenance and monitoring remains of undisputed importance. During its operating time, the machine may be subject to various malfunctions like stator or rotor defects, demonstrating the absolute need for its regular diagnosis. This work provides new elements about the diagnostic in case of combined faults between turn to turn short circuit fault and unbalanced supply voltage using current signature analysis. These faults features will be analyzed through frequency domain parameters, and component harmonics spectrum analysis. The study of this combined electrical defect will be able to clearly and definitively define the fault index specific to the short-circuit fault. Simulation and experimental results validate the hypothesis.

Modeling Common-Mode Current Due to Asymmetric Aging of Machine Winding Insulation

“…Other machine insulation fault diagnosis means are also popular among different research applications. Dielectric frequency response analysis applies a highfrequency voltage to the windings and measures the dynamic response of insulation [17,18] . The current signature analysis involves analyzing the current flowing through the machine windings to identify changes or abnormalities that may indicate a problem with the insulation, without physically accessing the windings [19][20][21] .…”