Joan Pons-Llinares
Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis
Pons-Llinares, Joan; Quijano-López, Alfredo; Bonet-Jara, Jorge; Vedreño-Santos, Francisco
Authors
Alfredo Quijano-López
Jorge Bonet-Jara
Dr Francisco Vedreno Santos F.VedrenoSantos@napier.ac.uk
Lecturer
Abstract
Early detection of faults in electric motors is crucial to prevent unplanned downtime and expensive repairs. Transient analysis through time-frequency transforms reveals important information on the motor condition. Computational time of these transforms becomes a problem when dealing with thousands of motors in just one industry. Researchers focus on obtaining the best quality results, usually using Gabor functions as t-f atoms. This paper shows how Frequency B-Splines can reach the same quality with nearly 40% less computational time. To achieve this goal, the slope criterion is applied to select the optimal atoms parameters. A formula that relates the slope of the Heisenberg Box of a FBS with its parameters is deduced. The proper time interval where the FBS must be defined is also determined. Results are shown not only with lab tests, but also through a field case.
Citation
Pons-Llinares, J., Quijano-López, A., Bonet-Jara, J., & Vedreño-Santos, F. (2024, May). Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis. Presented at Electrimacs 2024, Castellón de la Plana, Spain
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | Electrimacs 2024 |
Start Date | May 27, 2024 |
End Date | May 30, 2024 |
Acceptance Date | Mar 18, 2024 |
Deposit Date | Mar 18, 2024 |
Public URL | http://researchrepository.napier.ac.uk/Output/3568658 |
Related Public URLs | https://electrimacs2024.uji.es/ |
This file is under embargo due to copyright reasons.
Contact repository@napier.ac.uk to request a copy for personal use.
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