Equipment Maintenance Model using Big Data and Artificial Intelligence

I&T Wish Equipment Maintenance Model using Big Data and Artificial Intelligence
(REF : W-0092)
Matched I&T Solution Machines Predictive Maintenance with AI
(REF: S-0164)
Trial Project P-0093
Summary and Challenges

As maintenance need of equipment is highly dependent on its usage, figuring out its usage pattern helps predict its maintenance need.

We would like to apply big data analytics on the past usage and failure pattern of equipment, and to work out an effective equipment maintenance model utilising artificial intelligence. As such, preventive maintenance can be carried out in future.

Expected Outcome To employ artificial intelligence for medical equipment historical data analysis 1) aiming to forecast spare parts demand; 2) trouble shooting equipment failure and recommend follow-up action with users' description using machine learning; 3) evaluate condition of equipment, hence recommend predictive maintenance schedule.
Expected Trial Duration 12 months
Contact Information
I&T Wish Proposer:Electrical and Mechanical Services Department (EMSD)
Contact Person:Ms KWOK Sin Ming
Position:Engineer
Tel: 2990 2129
Email: kwoksm@emsd.gov.hk
Project Deliverables

Development of an effective equipment maintenance model

Publish Date 2019-03-22
Closing Date 2019-04-05