Research on Automatic Judgement of Wheelset Press-Fit Curve

作者：Jun Xiao, Jian Han, Xin Cheng, Rong Fang · 发表于：Applied Mechanics and Materials · 年份：2012 · DOI：10.4028/www.scientific.net/amm.236-237.1321 · 被引用次数：4 · 研究领域：Gear and Bearing Dynamics Analysis、Mechanical stress and fatigue analysis、Mechanical Engineering and Vibrations Research

This paper presents an automatic judgement method for wheelset press-fit curve, in which thirteen technical conditions are examined for qualified wheelset assembly or not. In order to meet the requirements of Criterion of inspection and repair - railway vehicles [2007]95, some algorithms are designed to identify several traits on press-fit curve, such as force zoom, force decrease, flat line, concave-up shape and so on. In accordance with the Criterion 95 and the algorithms, a quality judgement software attaching to the computer control system in a wheelset assembly machine is developed. The practical application shows that the software’s judgement accuracy is up to 99.4%. Compared with artificial approach, the accuracy, reliability and efficiency of the new judgement method all improve greatly. It also avoids influences of personal factors and makes great sense to the assurance of press-fit quality and transportation security.