Comparison of Vibration and Electrical Signal Analysis for Induction Motor Single-Point Bearing Defect Diagnosis

Giuseppe Bossi;Alfonso Damiano
2024-01-01

Abstract

Among many possible failure causes, bearing faults are reported to occur most often in induction motors (IMs). Signature-based and diagnostic analysis can be applied to vibration and electrical signals for early detection of the bearing fault. Vibration monitoring is widely used and has proven effective but relies on additional sensors that may undergo faults in harsh environments. On the other hand, the signature analysis of IM currents and voltages can be performed more easily as it requires the collection of electrical signals that are usually already available. However, their efficacy in detecting the fault signature may be lower compared to vibration analysis. In this paper, different vibration and electrical diagnosis techniques are applied to the detection of a single-point fault in the bearing of an induction machine. To this end, a small laboratory testbed comprising an IM with an artificially- damaged bearing is built. The results are compared to highlight the efficacy and limits of each method.
2024
Inglese
proceedings of 2024 6th Global Power, Energy and Communication Conference (GPECOM)
9798350351095
216
221
6
6th Global Power, Energy and Communication Conference (GPECOM)
Contributo
Esperti anonimi
04-07 June 2024
Budapest, Hungary
internazionale
scientifica
condition monitoring, fault diagnosis, fault detection, induction motors, bearings.
Goal 9: Industry, Innovation, and Infrastructure
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Fedele, Emanuele; Campagna, Nicola; Bossi, Giuseppe; Pio Di Noia, Luigi; Miceli, Rosario; Damiano, Alfonso
273
6
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
   MOST – Sustainable Mobility National Research Center and received funding from the European Union Next-GenerationEU
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