Application of Least Square Influential Coefficient Based on Particle Swarm Optimization in Dynamic Balancing Measuring

摘要：

This paper presents a least square influential coefficient based on particle swarm optimization, putting balance weight as optimizing object, which can make residual vibration meet the expected demand. Experimental result shows that this method has high performance optimizing effect, and high percent of removed unbalance amount one correction, which is over 95％. So this method has very high practical value.

关键词： dynamic balance least squares influence coefficient method partical swarm optimization

作者: Chuan-jiang Li Zi-qiang Zhang Li-li Wan Yi Li

作者单位: College of Information,Mechanical and Electrical Engineering,Shanghai Normal University, Shanghai, China

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 3181-3184

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）