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蜗轮副磨损的灰色马尔柯夫预测法
引用本文:蒋基洪,李友荣. 蜗轮副磨损的灰色马尔柯夫预测法[J]. 武汉科技大学学报(自然科学版), 1997, 0(2)
作者姓名:蒋基洪  李友荣
作者单位:上海宝山钢铁总厂(蒋基洪),武汉冶金科技大学(李友荣)
摘    要:介绍Grey-Markov模型的基本原理和方法,并将这一方法用于某大型圆盘给料机蜗轮副磨损量的预测。结果表明,用灰色预测理论预测设备运行状态,方法简单,计算量小,结果可靠,可达到使设备处于最佳运行状态的目的。

关 键 词:灰色系统;灰色预测模型;磨损趋势预测

Grey markov Prediction of the Turbine Subwear
Jiang Jihong[Shanghai Baoshan Iron and Steel co.,Shanghai ,China.] Li Yourong. Grey markov Prediction of the Turbine Subwear[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 1997, 0(2)
Authors:Jiang Jihong[Shanghai Baoshan Iron  Steel co.  Shanghai   China.] Li Yourong
Affiliation:Jiang Jihong[Shanghai Baoshan Iron and Steel co.,Shanghai 201900,China.] Li Yourong
Abstract:This article introduces the basic principles and method of Grey markov model.The application of this method to the prediction of the turbine sub wear in a certain heavy disc loader indicates that the grey prediction method when employed to predict the operating state of equipments is simple,reliable,boasting of less calculation while being able to optimize the operation of equipments.
Keywords:grey system  grey prediction model  prediction of wear tendency
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