基于改进欧拉算法的灰预测模型在综合传动故障预测中的应用研究  

Application of Improved Grey Model Based on Euler Algorithm on Fault Forecast of Power-shift Steering Transmission

作　　者：郑长松[1] 马彪[1] 剧引芳[1] 王立勇[1] 

机构地区：[1]北京理工大学车辆传动国家重点实验室,北京100081

出　　处：《润滑与密封》2007年第5期45-47,共3页Lubrication Engineering

基　　金：教育部新世纪优秀人才支持计划(NCET-04-0200).

摘　　要：针对灰预测模型在实际应用过程中出现的预测结果主要依赖于第一个实测值的问题,提出了基于改进欧拉算法的灰预测算法,该算法的预测值主要依赖于其前一个的实测结果,使得预测结果更准确。将该方法应用到某综合传动油液分析Fe浓度的预测中,能捕捉到其发生故障的征兆信息,具有很好的应用价值。For the results of GM （ 1,1 ） applied on the fault forecast are mainly based on the first test values, the improved GM （1,1） method based on Euler algorithm was put forward. The new method depends on the previous values to forecast the next values and it can make the forecast values more accurate. The new method was applied on the Fe concen- tration forecast of the power-shift steering transmission, the premonition fault information was obtained.

关 键 词：欧拉算法 故障预测 综合传动 

分 类 号：TH165[机械工程—机械制造及自动化]