计算机与数字工程2023，Vol.51Issue(11)：2736-2741,6.DOI:10.3969/j.issn.1672-9722.2023.11.047
基于在线磨粒和改进RAGA-PPC传动箱磨损状态评估研究
Research on Wear Condition Evaluation of Chassis Transmission Box Based on Online Abrasive Particles and Improved RAGA-PPC
摘要
Abstract
In view of the lag in the collection of wear particles in the oil of the armored vehicle transmission case,the data di-mension is high and the weight of equipment wear is difficult to determine.The online oil wear particle sensor installed on the trans-mission case is used to collect data,and 7 evaluation indicators of the transmission case wear state are established.The penalty func-tion method is used to construct the projection index model to reduce the data dimension.In order to avoid the local convergence caused by the initial value and initial search direction,an improved accelerated genetic algorithm is used to solve the optimal projec-tion direction.After the best projection direction is obtained,7 indicators can be projected to the low-dimensional data space,and the operation projection range can be obtained by analyzing the projection boundary value.By analyzing the drop point of the online data projection value,the wear status of the equipment can be obtained.This method improves the optimization speed and discrimi-nation accuracy,and realizes a more effective transmission case wear status assessment.关键词
在线油液监测/传动箱磨损状态评估/油液指标体系/投影寻踪法/改进加速遗传算法Key words
online oil monitoring/gearbox wear evaluation/oil index system/projection pursuit method/improved acceler-ated genetic algorithm分类
机械制造引用本文复制引用
李廷洋,李英顺,张杨,于浚豪,康兴汝..基于在线磨粒和改进RAGA-PPC传动箱磨损状态评估研究[J].计算机与数字工程,2023,51(11):2736-2741,6.基金项目
辽宁省"兴辽英才计划"基金项目(编号:XLYC1903015)资助. （编号:XLYC1903015）
