  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.
