Search
Now showing items 1-3 of 3
Investigation of Fault Modeling in the Identification of Bearing Wear Severity
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Recent research into machines involved in power generation processes has demanded deep investigation of model-based techniques for fault diagnosis and identification. The improvement of critical fault characterization is ...
Verification and Validation of Rotating Machinery Using Digital Twin
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Rotating machinery has extensive usage in industrial applications, either as leading equipment (power plants) or as auxiliary equipment (oil and gas exploitation). These highly complex systems demand expensive maintenance ...
Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Early diagnosis in rotating machinery has been a challenge when looking toward the concept of intelligent machines. A crucial and critical component in these systems is the lubricated journal bearing, subjected to wear ...