Ayas, G. NurGoktas, TanerArkan, Muslum2026-04-042026-04-042024979-833151803-5https://doi.org/10.1109/ELECO64362.2024.10847216https://hdl.handle.net/11616/1080392024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024 -- 28 November 2024 through 30 November 2024 -- Bursa -- 206315In induction motors, possible faults can affect the dynamic performance of the motor and reduce the overall efficiency of the motor-driven systems. Therefore, it is crucial to detect potential faults early and accurately. This study investigates the role of speed-related frequencies in vibration-based detection of mechanical faults in induction motors. For this purpose, a test setup is built, and different mechanical faults are created to analyze the frequency spectra of 3-axis vibration data under different torque profiles. According to the experimental results, effective and reliable fault detection can be provided through frequency-related signals (fr (1X) and 2fr (2X)) and their sidebands (2fr+2sfs). © 2024 IEEE.trinfo:eu-repo/semantics/closedAccessSignal processingTraction motorsDriven systemDynamic performanceFaults detectionFrequency spectraInductions motorsMechanical faultsOverall efficiencyPotential faultsTest setupsVibration dataVibration analysisConference Object10.1109/ELECO64362.2024.108472162-s2.0-85217872428N/A