Application of Least Square Influential Coefficient Based on Particle Swarm Optimization in Dynamic Balancing Measuring
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.
C. J. Li et al., "Application of Least Square Influential Coefficient Based on Particle Swarm Optimization in Dynamic Balancing Measuring", Applied Mechanics and Materials, Vols. 130-134, pp. 3181-3184, 2012