Smart Remanufacturing Systems

Condition Monitoring

• Sensor Selection, Performance Characterisation and Optimisation for Real-Time Monitoring
• Optimisation of Data Acquisition and Processing of Sensor Signal for different scenarios: high performance, cost-effective
  
• Development of End-to-End customised Sensing Solution
  

  
  

Industrial Applications:

• In-service Product Health and Condition Monitoring
• EOL Product Diagnosis
• Process Monitoring
  

  
  

  
  

Predictive Maintenance and Prognostics

Hybrid Solutioning combining knowledge-based and data-driven based machine learning for:

• Real-time Anomalies Detection
• Fault Isolation and Classification
• Early Detection of Degradation 
  
• Prediction of Remaining Useful Life (RUL)
  

• Useful life prediction of tooling, rotating equipment, electric motors, batteries, etc
  

Automated Product Disassembly

• Disassembly Planning, Sequencing and Optimisation of Complex Products
• Intelligent Automated Guidance for Adaptable Product Disassembly by Leveraging Computer Vision, Machine Learning and Automation
  

Industrial Applications:

• Disassembly of EV battery packs, automotive systems, electric machines, etc.
  
  

Surface Enhancement

Application of compressive surface residual stresses for improvements in mechanical properties  

• Shot Peening
• Hammer Peening
• Deep Cold Rolling
• Laser Shock Peening

Industrial Applications:

• Enhancement of fatigue strength
• Improvement of surface finish