Application of Partical Swarm Optimization Algorithm in Field Holo-Balancing
发布时间:2025-04-30
点击次数:
- 发布时间:
- 2025-04-30
- 论文名称:
- Application of Partical Swarm Optimization Algorithm in Field Holo-Balancing
- 发表刊物:
- Lecture Notes in Computer Science
- 摘要:
- Based on the Holo-balancing theory of shaft system, a new multiobjective optimization balancing method including load mass, uniformity and maximum of the residual vibration is proposed by building a multi-objective fuzzy evaluation function and application of particle swarm optimization algorithm. The advantage of the proposed method is studied by comparing with the traditional genetic algorithms optimization. And the shortcoming of influence coefficient methods failing to restrict the load mass and guaranteeing the uniformity of the residual vibration is conquered. Finally, the validity and effectiveness of the proposed method is verified through a field power generator set balancing case
- 合写作者:
- Guangrui Wen, Xining Zhang, and Ming Zhao
- 卷号:
- 6328/2010
- 页面范围:
- 16-25
- 是否译文:
- 否
- 发表时间:
- 2010-09-17




