Intelligent Defect Diagnosis of Rolling Element Bearings under Variable Operating Conditions Using Convolutional

Syed Muhammad Tayyab1, Steven Chatterton1, Paolo Pennacchi1

  • 1Department of Mechanical Engineering, Politecnico di Milano, Via G. La Masa 1, 20156 Milan, Italy.

Summary

This study introduces a novel method for diagnosing rolling element bearing faults under varying speeds and loads using Artificial Intelligence (AI). The approach utilizes order maps with convolutional neural networks (CNNs) to maintain accuracy across different operating conditions.

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