Servo Motor Online Monitoring & Predictive Maintenance
Online condition monitoring, degradation assessment, and predictive maintenance for industrial servo motors

Project Overview
Servo motors are the joints of automated lines. This system monitors servo drives online and turns maintenance from fix-after-failure into replace-before-failure.
Research Objectives
Multi-parameter online condition monitoring
Degradation trend assessment and RUL estimation
Maintenance decision recommendations
Methodology
Multi-sensor condition monitoring combined with degradation modeling; scalable deep-learning-based assessment supports predictive maintenance decisions.
Key Results
Servo motor monitoring & predictive maintenance system deployed in production
Methods published in Measurement and related journals
Online Equipment Fault Diagnosis