Tianyun Shi

Axle fault prognostics of electric multiple units based on improved Apriori algorithm

2017

To effectively reduce the occurrence rate of axle faults of electric multiple units (EMUs), in this study, classical Apriori algorithm is improved based on Apache Hadoop big data and applied to prediction studies of axle …

Study on the framework of surveillance and management system for high-speed railway system

2017

For most people, the high-speed railway has become an important and preferred way to travel. In order to improve the safety, it is of great importance to effectively monitor natural disasters, man-made destruction, and draw …