文章摘要
金晓武.,庞新宇,杨兆建,袁建湘.基于IOWGA算子的转子系统磨粒浓度组合预测方法[J].润滑与密封,2017,42(3):82-85
基于IOWGA算子的转子系统磨粒浓度组合预测方法
Combined Prediction Method of Wear Particle Concentration in Rotor System Based on IOWGA Operator
  
DOI:10.3969/j.issn.0254-0150.2017.03.016
中文关键词: 滑动轴承  磨粒浓度  IOWGA算子  组合预测
英文关键词: sliding bearing  particle concentration  IOWGA operator  combination forecast
基金项目:国家自然科学基金项目(51475318);山西省青年基金项目(2014021024 2);山西省平台基地建设项目(201605D121032)
作者单位E-mail
金晓武. 太原理工大学机械工程学院 819555630@qq.com 
庞新宇   
杨兆建   
袁建湘   
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中文摘要:
      为了准确地得到转子系统滑动轴承磨损的预测结果,基于IOWGA算子的组合预测方法的理论,提出一种最小二乘支持向量机回归预测、灰色预测及指数平滑法相结合的组合预测方法,建立一种新的预测转子系统滑动轴承磨损磨粒浓度的组合预测模型及其评价指标体系。在单跨双圆盘转子试验台上进行试验,提取铁谱片上滑动轴承磨损的浓度数据,利用各项预测模型对磨损磨粒浓度变化趋势进行预测,并比较各项预测模型的预测结果。实例结果表明:基于IOWGA算子的组合预测模型的预测精度较高,是预测润滑油中磨粒浓度变化趋势的一种有效方法。
英文摘要:
      In order to get accurately wear prediction results of the sliding bearing in rotor system,based on theory of the Induced Ordered Weighted Geometric Averaging (IOWGA) operator combination forecasting method,a combination forecasting method combining the least squares support vector machine regression,the grey forecast and the exponential smoothing method was proposed,and a combined forecasting model of wear particle concentration of a rotor system and the evaluation index system were established.The experiment was carried out in the single span double disc rotor test rig,the concentration data of the wear debris of the sliding bearing on the iron spectrum were extracted,the wear particle concentration change trend was predicted by combination forecasting model,and the forecast results of the forecast model were compared.The results show that the combined forecasting model based on IOWGA operator posses higher prediction accuracy than the three single forecasting methods,which is an effective method to predict the particle concentration change trend in lubricating oil.
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