Combined Electrical Faults Detection and Diagnosis Using Current Signature Analysis

"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.