Abstract
Train passenger door is the key system for operation and maintenance of urban rail train. In this paper, working process of the passenger door system of urban rail train is analyzed and the mathematical model is established. Firstly, the method of parameter estimation is used to obtain physical parameters of doors in different working conditions. Then fault diagnosis experiment is carried out on train passenger door with principal component analysis and rough set theory. In the end, fault diagnosed accuracies under different time settings of opening and closing profiles with the test rig are verified.
Highlights
INTRODUCTIONPassenger congestion occurs during peak time, and extrusions and manhandling on the door affect doors’ normal working process, which causes fault to the door resulting in train’s delay eventually seeking rescue
With increasing operation tasks, passenger congestion occurs during peak time, and extrusions and manhandling on the door affect doors’ normal working process, which causes fault to the door resulting in train’s delay eventually seeking rescue
Door system is one of the most frequently damaged systems on urban rail train while the passenger doors are the main objects of complaint for maintenance personnel due to their large size and high frequency utilization
Summary
Passenger congestion occurs during peak time, and extrusions and manhandling on the door affect doors’ normal working process, which causes fault to the door resulting in train’s delay eventually seeking rescue. The studies on urban rail trains’ electric doors are limited to the reliability analysis due to real-time data acquisition difficulties and usually methods such as reliability block diagram, bias methods, fault tree network [1, 2], GO [3] and FMECA [4] are used. The applications of these methods require a vast amount of prior knowledge which do not make full use of the state data real time train operation, these are not feasible to new train lines or new models of equipment. The time domain analysis method is used for the fault isolation experiments, and under different working conditions and configurations, the accuracy of this method is verified
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