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| 基于偏最小二乘回归的装甲车辆润滑油监测 | |
| 引用本文： | 何国良,刘义乐,张玲,易良海.基于偏最小二乘回归的装甲车辆润滑油监测[J].科学技术与工程,2010,10(31). |
| 作者姓名： | 何国良 刘义乐 张玲 易良海 |
| 作者单位： | 1. 装甲兵工程学院科研部,北京,100072 2. 装甲兵工程学院科学技术保障工程系,北京,100072 3. 装甲兵工程学院非线性研究所,北京,100072 |
| 摘 要： | 采用偏最小二乘回归方法，经交叉有效性检验，选取2个成分建立了某中型坦克变速箱的润滑油油液污染度与磨粒浓度、磨损烈度指数和大磨粒百分比的关系模型，该模型对各自变量的累计解释能力均达到97％以上，对因变量的累计解释能力超过98％，通过该模型计算得到油液污染度的拟合值与实测值的最大相对误差不超过7％，可以对油液污染度进行有效预测，从而为设备的正确维护提供有效的依据，实现预防性维修。
关键词：装甲车辆；润滑油监测；偏最小二乘回归 |
| 关 键 词： | 装甲车辆 润滑油监测 偏最小二乘回归 |
| 收稿时间： | 8/7/2010 9:53:28 PM |
| 修稿时间： | 8/7/2010 9:53:28 PM |
The Lubrication Oil Monitoring in Armored Vehicles Based on Partial Least Square Regression |
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| He Guo-liang,Liu Yi-le,Zhang Ling and Yi Liang-hai.The Lubrication Oil Monitoring in Armored Vehicles Based on Partial Least Square Regression[J].Science Technology and Engineering,2010,10(31). | |
| Authors: | He Guo-liang Liu Yi-le Zhang Ling and Yi Liang-hai |
| Institution: | Department of Technical Support Engineering, Academy of Armored Force Engineering,Institute of Nonlinear Science, Academy of Armored Force Engineering,Academy of Armored Force Engineering |
| Abstract: | Through cross validation test, we choose two ingredients to establish the relation model of abrasive grain concentration, abrasion intensity index, big abrasive grain and oil pollution of transmission case in some medium sized tank. The cumulative explained abilities of this model to various independent variables exceed 97% and the cumulative explain ability to the dependent variable exceeds 98%. The maximum relative error of the fitted value and the real value of the oil pollution got by calculation of this model less than 7%. We can effectively forecast the oil pollution and then provide the effective base for the correct maintaining and realize the precaution maintaining. |
| Keywords: | Armored Vehicles Lubrication Oil Monitoring Partial Least Square Regression |
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