Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations

Bonet-Jara, J.; Fernandez-Cavero, V.; Vedreno-Santos, F.; Morinigo-Sotelo, D.; Pons-Llinares, J.

Abstract

Induction motors work under steady-state in many applications. Nevertheless, in some cases they experience periodic load fluctuations, which generate constant frequency harmonics close to variable frequency bar breakage harmonics. In these cases, time-frequency (t-f) transforms are better suited than steady-state analysis since the fault harmonic frequencies change in time. Even if the healthy and faulty frequencies do not overlap in the spectrum, if the speed is unknown, it is difficult to distinguish the constant frequency healthy harmonic from the variable frequency bar breakage harmonic. On the other hand, transient techniques present in technical literature are not precise enough to deal with both the changing frequency of the bar breakage harmonic and a close constant frequency (as the one generated by most of the periodic load fluctuations). To achieve reliable results under these challenging situations, a very precise time-frequency transform must be used, enabling to simultaneously draw the constant and variable frequencies, even if they are very close in the t-f plane. The Dragon-Transform is here proposed to address the problem. It is shown through simulation and experimental results, how it enables to very accurately plot up to five faulty harmonics evolutions, distinguishing at the same time the constant frequency of the load oscillation, traced as a very thin horizontal line. Precision is so high that even the oscillations caused by ripple effect can be observed for the first time in technical literature, enhancing the reliability of the diagnosis performed, and opening the path for a true solution of the problem.

• Journal Article Type: Article
• Acceptance Date: Feb 26, 2024
• Online Publication Date: Feb 29, 2024
• Deposit Date: Feb 26, 2024
• Publicly Available Date: Mar 12, 2024
• Print ISSN: 0093-9994
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/TIA.2024.3371393
• Keywords: Induction Motors; Load Oscillations; Signal analysis; Time-frequency transforms; Fault diagnosis
• Public URL: http://researchrepository.napier.ac.uk/Output/3525331