Title of Paper:
A Four-Point Quantitative Detection Method for Shafts Misalignment
Journal:
13th International Conference on Ubiquitous Robots and Ambient Intelligence (URA
Summary:
Shafts misalignment is a common fault of rotating machine. Quantitative detection of shafts misalignment is the key for field alignment. A four-point quantitative detection method for misalignment fault is proposed in the paper. The principle of measurement and calculation of the method is expounded. The performance and effectiveness of the proposed method is verified by simulation and experiment. Experimental results show that the four-point method can quantitatively detect both parallel and angular misalignment of shafts with reasonable precision, and in the mean time it has the advantageous of low computation volume, low cost and widespread adaptability in application.
会议：全国高校机械工程测试技术研究会联合韩国机器人学会、西安交通大学一起举办的第十三届泛化机器人与环境智能国际会议（13th International Conference on Ubiquitous Robots and Ambient Intelligence ——URAI2016： http://www.kros.org/urai2016）。
结束日期：2016-08-19~2016-08-22
主办地点： 中华人民共和国西安
主办单位： 中国振动工程学会动态测试专委会、西安交通大学
Papers
