借助遗传算法建立机器正常磨损过程的趋势模型

Modeling the Trend of Mechanical Normal Wear Using Genetic Algorithms

分析了几种常见建模方法在正常磨损过程趋势建模中的不足,提出了基于遗传算法的正常磨损过程趋势建模方法。通过在航空发动机磨损故障预警中的一个应用实例,验证和显示了该方法的可行性和优越性。另外,该方法对实际磨损数据序列为不等间隔序列的情况也具有适用性。

This paper describes the deficiencies ofseveral popular modeling methods used in the normalwear trend modeling and presents a normal wear trendmodeling method based on Genetic Algorithms (GA). Anexample indicates that the proposed GA based method iseffective and has numerous advantages over the tradition-al ones. Moreover, in this paper the availability of themethod used in the modeling of non--uniform wear timeseries is analyzed.