Monitoring Lift Aging Equipment through Data Analytics

Title of I&T Wish Monitoring Lift Aging Equipment through Data Analytics
(REF : W-0162)
Project Summary and Challenges There are lots of electric and hydraulic lifts in public premises. Large amounts of sensor data and maintenance records were generated, but only a small portion of information be useful for rigorous analysis for fault diagnosis and residual-life estimation. In addition, non-destructive inspection methods shall be developed for detecting the sub-surface defects on some critical safety equipment such as suspension rope, safety gear, over-speed governor and rope gripper.
Expected Outcome To explore the use of I&T solutions to help monitor the residual useful life and aging conditions for essential safety equipments in lifts.
Expected Project Duration 9 months
Contact Information

Name: Mr Tse Ho, Jeff

Position: Senior Engineer

Tel: 3757 6029


Project Deliverables An universal lift data-driven analytic platform could be built to correlate the relationships among the key monitoring parameters, critical fault symptom and residual life span.