INTELLIGENT CONDITION ASSESSMENT AND REMAINING USEFUL LIFE–ORIENTED MAINTENANCE PREDICTION FOR TRACTION MOTOR MECHANICAL FAULTS
This study proposes an interpretable fuzzy-logic framework for the integrated condition assessment of railway traction motors using bearing temperature, vibration velocity, acoustic noise, and magnetic-field variation. Three linguistic states represent each diagnostic variable, and their combinations are processed u...