Machine learning techniques for multi-fault analysis and detection on a rotating test rig using vibration signal

HIGHLIGHTS

• who: Iulian Lupea and Mihaiela Lupea from the Faculty of Industrial Engineering, Robotics and Production Management, Technical University of have published the Article: Machine Learning Techniques for Multi-Fault Analysis and Detection on a Rotating Test Rig Using Vibration Signal, in the Journal: Symmetry 2023, 15, x FOR PEER REVIEW of /2023/
• what: In this paper a system for analyzing and detecting mounting defects on a rotating test rig is developed. In this work seven artificial faults are introduced in a rotating machinery test rig that is designed to be reconfigurable and capable of testing . . .
  

   

  

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