Palavra-chave: CONDITION MONITORING

HYDRODYNAMIC BEARINGS WEAR HYDRODYNAMIC JOURNAL BEARINGS FAULT IDENTIFICATION AND ISOLATION INSTRUMENTED RAILWAY VEHICLE FAULT DETECTION WEAR FAULT SIMULATION-DRIVEN DEEP LEARNING ETL TIME RESPONSE MACHINE LEARNING OVALIZATION FAULT DYNAMIC ANALYSIS HYDRODYNAMIC JOURNAL BEARING FAULT CLASSIFICATION HYDRODYNAMIC BEARING WEAR STABILITY ROTORDYNAMICS DATA SCIENCE FOUNDATION STRUCTURE AUTOMATIC OMA CONVOLUTIONAL NEURAL NETWORK