HEV自动膜片弹簧离合器转矩跟踪PID控制

在同轴并联混合动力系统和自动膜片弹簧离合器数学建模的基础上,提出一种包含Kalman滤波器、串级变参数PID控制器的自动膜片弹簧离合器转矩跟踪控制策略,设计了变参数转矩环比例控制器,对行程环PID控制参数进行了优化整定,对HEV模式切换过程中,离合器传递转矩的跟踪控制进行了仿真和试验研究.结果表明,所提出的离合器转矩跟踪控制策略具有良好的效果.      

路面施工中的沥青拌和站操作控制

分析了在路面施工过程中,要想优质高效地完成生产任务,如何更好地管理沥青拌和设备至关重要,提出操作控制是重要的一环。     

55CrSiA与JIS G3566—77油淬火弹簧钢丝的比较分析

在系统地对同规格的５５ＣｒＳｉＡ与ＪＩＳ Ｇ３５６６－７７油淬火钢丝的成分、组织、残留元素及力学性能进行了复查，并按相同工艺制成ＦＭ１４７发动机气阀弹簧做了比较试验后发现：该种弹簧钢丝与日本弹簧钢丝在质量上略有差距。     

锥形弹簧中驻波的理论探讨

本文对模拟一维非均匀介质的锥形弹簧中纵波的传播规律作了理论探讨。所得结果与实验符合得较好。     

试论Heaviside算子

分析并提出了微分算子方程形成的数学依据。     

Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?

We study the performance of recently developed linear regression models for interval data when it comes to forecasting the uncertainty surrounding future stock returns. These interval data models use easy‐to‐compute daily return intervals during the modeling, estimation and forecasting stage. They have to stand up to comparable point‐data models of the well‐known capital asset pricing model type—which employ single daily returns based on successive closing prices and might allow for GARCH effects—in a comprehensive out‐of‐sample forecasting competition. The latter comprises roughly 1000 daily observations on all 30 stocks that constitute the DAX, Germany's main stock index, for a period covering both the calm market phase before and the more turbulent times during the recent financial crisis. The interval data models clearly outperform simple random walk benchmarks as well as the point‐data competitors in the great majority of cases. This result does not only hold when one‐day‐ahead forecasts of the conditional variance are considered, but is even more evident when the focus is on forecasting the width or the exact location of the next day's return interval. Regression models based on interval arithmetic thus prove to be a promising alternative to established point‐data volatility forecasting tools. Copyright ©2015 John Wiley & Sons, Ltd.     

铁路集装箱中心站列车装卸作业的仿真研究

铁路集装箱中心站装卸场作为中心站的重要组成部分,其运作效率是铁路集装箱运输竞争力的直接体现.利用离散事件仿真原理,将事件图方法与之相结合建立铁路集装箱列车装车作业仿真模型,并对模型进行验证,并分别考虑了在不同作业模式下中心站内运输卡车数量的配置对装卸设备作业效率的影响.实例仿真结果表明该模型为铁路集装箱中心站资源设施的配置规划提供了一种有效的决策手段.     

遗传算法在飞机目标识别中的应用

针对雷达目标识别中特征维数压缩和神经网络的隐含层结点数的确定等关键问题 ,提出了一种基于遗传算法的目标识别方法 ,该方法首先构造了一个符合目标识别这一特定问题的初始种群 ,然后利用遗传算法模拟生物遗传迭代和自然选择的遗传机理 ,通过多次遗传迭代最终收敛于问题的一个满意解。最后将该方法用于对三类飞机目标的分类和识别 ,验证了该方法用于目标分类和识别的可行性和有效性。     

R&R Analysis for Measurement System Using Moving Range

1　IntroductionMetrology is an important aspect of manufacturing because measurements are necessaryfor monitoring and controlling processes. The quality of data depends on the gauges andother tools used for the measurementof measured variables.With the greater reliance onquantitative measurements in modern manufacturing industry,the criticality of gauge ca-pability analysis has increased.The goal of gauge capability analysis is the understandingand quantification of the sources of variability …