| 摘要 |
Disclosed is a light rail vehicle having a predictive diagnostic system for a motor driven automated door (100) to enable condition-based maintenance. The light rail vehicle (110) has an automated door system (112), at least one data acquisition board (114), a data collection program (116), an exponential smoothing algorithm (118), and a neural network (120). The need for maintenance is identified through the collection of various door system (112) parameters, calculating current energy and time consumption from these parameters, and determining the rate of degradation based on current energy and time consumption of the door system (112) as compared with historical energy and time consumption. From the rate of degradation, maintenance can be scheduled as needed.
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