The refurbishment of an escalator is usually linked with its design life as recommended by the manufacturer. However, the actual useful life of an escalator should be determined by its operating condition which is affected by the runtime, workload, maintenance quality, vibration, etc., rather than age only. The objective of this project is to develop a comprehensive health condition analytic system for escalators to support refurbishment decisions. The analytic system consists of four parts: 1) online data gathering and processing; 2) a dashboard for condition monitoring; 3) a health index model; and 4) remaining useful life prediction. The results can be used for a) predicting the remaining useful life of the escalators, in order to support asset replacement planning and b) monitoring the real-time condition of escalators; including alerts when vibration exceeds the threshold and signal diagnosis, giving an indication of possible root cause (components) of the alert signal.
@article{arxiv.2306.05436,
title = {Remaining Useful Life Modelling with an Escalator Health Condition Analytic System},
author = {Inez M. Zwetsloot and Yu Lin and Jiaqi Qiu and Lishuai Li and William Ka Fai Lee and Edmond Yin San Yeung and Colman Yiu Wah Yeung and Chris Chun Long Wong},
journal= {arXiv preprint arXiv:2306.05436},
year = {2023}
}