Early detection of subsurface fatigue cracks in rolling element bearings by the knowledge-based analysis of acoustic emission

HIGHLIGHTS

• who: Einar Løvli Hidle et al. from the Department of Mechanical and Industrial Engineering, Norwegian University of Science and have published the paper: Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission, in the Journal: Sensors 2022, 22, 5187 peak at of /2022/
• what: The aim of this work is to develop a robust methodology for AE time series analysis aiming at condition monitoring and early diagnosis of faults induced in rolling element bearings during contact fatigue loading. Inspired by radar target detection theory and . . .
  

   

  

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