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Abstract
A large amount of data is generated during train operation. By using PHM technology, we can analyse the health status of train systems and equipment which guide train operation and maintenance scientifically and effectively. Based on the feedforward neural network, the paper introduces some research of train on health status, such as remaining life prediction. To better verify the method, an online health analysis equipment suitable for train CAN bus is designed. The method and equipment are tested based on the data of a real train braking system, and the results show that the remaining predicted mileage of the brake system decreased by 1.1%, and the remaining predicted maintenance time decreased by 2.3% because of the impact of fault injection technology on brake cylinder performance. The result proved the effectiveness of the method and equipment for the online health status analysis of trains.
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