1 Department Computer Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.
2 Medical Devices Technology Engineering, Alsalam University College, Baghdad, Iraq.
3 Department Electrical Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.
4 Al-Sharia Department, University of Baghdad, Baghdad, Iraq.
Research Article
Global Journal of Engineering and Technology Advances, 2023, 16(03), 179–185.
Article DOI: 10.30574/gjeta.2023.16.3.0179
Received on 16 July 2023; revised on 22 August September 2023; accepted on 25 August 2023
The analysis of vibration signals is of utmost importance in the assessment and surveillance of mechanical systems' condition. This scholarly article presents an extensive evaluation of diverse methodologies utilized in vibration signal analysis, emphasizing the merits and limitations associated with each technique. The strategies covered include approaches based on machine learning as well as time-domain analysis, frequency-domain analysis, time-frequency analysis, and time-domain analysis. Practitioners and researchers can choose the best strategy for their unique vibration analysis needs by having a thorough understanding of the strengths and limitations of each method.
Vibration signal analysis; Time-domain analysis; Frequency-domain analysis; Time-frequency analysis; Machine learning
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Ammar A Al-Hamadani, Ali R Ibrahim, Mohammed K Al-Obaidi, Aws M Abdullah and Anas F Ahmed. A review of various techniques for vibration signal analysis to diagnose the faults of electric motors: Advantages and drawbacks. Global Journal of Engineering and Technology Advances, 2023, 16(3), 179-185. Article DOI: https://doi.org/10.30574/gjeta.2023.16.3.0179
