Development of Artificial Intelligence (AI) Model for Predictive Maintenance of Air Handling Units (AHUs)

I&T Solution Development of Artificial Intelligence (AI) Model for Predictive Maintenance of Air Handling Units (AHUs)
(REF: S-1636)
Trial Project
Solution Feature
  • Online real-time status monitoring.
  • Comprehensive online monitoring of equipment, including electrical, vibration and temperature rise.
  • Time domain and frequency domain data analysis can predict potential faulty parts in advance.
  • Artificial intelligence models can deeply train and learn, analyze data, and implement predictive maintenance.
  • Friendly human-machine interface, simple and convenient operation.
Trial Application and Expected Outcome
  • complete online monitoring system, including various sensors, data collection, data transmission, data cleaning, artificial intelligence models, deep learning algorithms and human-machine interface.
  • Fault determination methods and fault location technology
  • Equipment status analysis report and forecast trend analysis report
Additional Solution Information Development of Artificial Intelligence (AI) Model for Predictive Maintenance of Air Handling Units (AHUs).pdf
Info on I&T Solution Provider
Solution Provider:Department of Electrical and Electronic Engineering, the HK Polytechnic University
Address:九龍紅磡育才道11號
Contact Person: Prof. CHENG Ka-wai Eric
Position:Professor
Tel:9669 1628
Email: eeecheng@polyu.edu.hk
Webpage: http://perc.polyu.edu.hk/

For details of the above I&T solution, please contact the I&T solution provider.