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Diagnostics of the drive shaft bearing based on vibrations in the high-frequency range as a part of the vehicle's self-diagnostic system
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Poznan University of Technology, Faculty of Civil and Transport Engineering, Institute of Transport, ul. Piotrowo 3, 61-138 Poznań, Poland
Publication date: 2022-03-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(1):70-79
  • Vibration measurements of the drive shaft bearings in selected vehicle during operation.
  • Vibration signal processing and analysis in time and frequency domains.
  • Selection of the most sensitive diagnostic parameter based on decision trees.
  • On-board diagnostic algorithm to assess the technical condition of drive shaft bearings.
Currently, one of the trends in the automotive industry is to make vehicles as autonomous as possible. In particular, this concerns the implementation of complex and innovative selfdiagnostic systems for cars. This paper proposes a new diagnostic algorithm that evaluates the performance of the drive shaft bearings of a road vehicle during use. The diagnostic parameter was selected based on vibration measurements and machine learning analysis results. The analyses included the use of more than a dozen time domain features of vibration signal in different frequency ranges. Upper limit values and down limit values of the diagnostic parameter were determined, based on which the vehicle user will receive information about impending wear and total bearing damage. Additionally, statistical verification of the developed model and validation of the results were performed.
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