动态自适应调整信息素蚁群算法在传动齿轮磨损归类中的应用

Application of Ant Colony Algorithm Based on Dynamic and Adaptive Adjust Pheromone in Driving Gear Abrasion Categorization

目前在处理传动齿轮磨损归类方面还存在很多问题,寻找到一种基于实验数据对传动齿轮较为准确的归类方法是普遍存在的难题。本文将动态自适应技术和模式识别中近邻函数准则融入基本蚁群算法形成一种动态自适应调整信息素的蚁群算法,应用于传动齿轮磨损归类中。实验结果表明,效果是良好的。应用这种算法处理传动齿轮磨损归类,具有很高的实用价值,对于传动齿轮磨损的早期检测有较高的指导意义。

At present , there are many problems for processing abrasion categorization of driving gear. In common , it＇s very difficult to find a precise method that classifies the driving gear based on the experi- ment data. This paper proposes a dynamic and adaptive adjust pheromone ant colony algorthm which using dy- namic adaptive technology and neighbor function rule in pattern recognition, applies to the classity of driving gear abrasion. The experiment result indicates the effect is good, it has high utility value and guidance meaning for the early detection of driving gear abrasion.