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基于灰色马尔可夫模型的柴油机磨损趋势预测
引用本文:张启义,周先华,王文涛. 基于灰色马尔可夫模型的柴油机磨损趋势预测[J]. 润滑与密封, 2007, 32(9): 145-147
作者姓名:张启义  周先华  王文涛
作者单位:解放军汽车管理学院,安徽蚌埠,233011;解放军理工大学工程兵工程学院,江苏南京,210007;解放军理工大学工程兵工程学院,江苏南京,210007;解放军汽车管理学院,安徽蚌埠,233011
摘    要:在柴油机磨损趋势灰色预测的基础上,引入马尔可夫链预测理论,建立柴油机磨损趋势灰色马尔可夫预测模型。该模型既考虑了从时间序列中挖掘数据的演变规律,又通过状态转移概率矩阵的变换提取数据的随机响应,因而可将时间序列数据固有的2种性质有机结合起来,具有严密的科学性,从而拓宽了灰色预测的应用范围。实例计算证明:柴油机磨损趋势灰色马尔可夫预测模型预测精度高于GM(1,1)模型预测精度。

关 键 词:灰色模型  马尔可夫链  柴油机  磨损
文章编号:0254-0150(2007)9-145-3
修稿时间:2007-04-29

The Forecast for the Wear Trend of the Diesel Engine Based on Grey Markov Chain Model
Zhang Qiyi,Zhou Xianhua,Wang Wentao. The Forecast for the Wear Trend of the Diesel Engine Based on Grey Markov Chain Model[J]. Lubrication Engineering, 2007, 32(9): 145-147
Authors:Zhang Qiyi  Zhou Xianhua  Wang Wentao
Abstract:Based on grey method of the forecast for wear trend of the diesel engine,the Markov chains prediction method was presented and the grey Markov model for predicting the trend of the diesel engine was built.The model is felled together two kinds of inherent quality that is evolvement rules is mined from time list data and random response is attained through state transfer probability matrix organically,which make it more scientific and rigorous.So it opens up appliance scope of grey prediction.The example shows that the precision of grey Markov for predicting the trend is better than that of grey model.
Keywords:grey model  Markov chains  diesel engine  wear
本文献已被 CNKI 维普 万方数据 等数据库收录!
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