C2 - e-Monitoring and Intelligent diagnosis of Plastic Injection Molding Machines

The objective of the project is to develop an intelligent e-diagnosis system for plastic injection molding machines. The system can automatically collect data, conduct data mining and intelligent diagnosis. It can help to maintain the health condition of the machines and to assure the part quality. The system consists of an on-line data collection module and an off-line data mining and diagnosis module. The on-line data collection module can collect data from the controllers of the machine and various other sensors, and send the data to the machine manufacturer through the Internet. The off-line data mining and diagnosis module will detect possible malfunction and accordingly, schedule prevent maintenance. In addition, the data will help to improve the design of the plastic injection molding machines.

Applications

• Machine maintenance
• Malfunction detection
• Quality assurance
• Machine design

Features

• Data mining
• Computational intelligence
• Web-based diagnosis
• Better customer service at a lower cost

Website
http://www2.acae.cuhk.edu.hk/~eml

Principal Investigator
Prof. Ru Xu DU
Department of Automation and Computer-Aided Engineering