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基于趋势外推法曲线智能延伸模型及实例应用 被引量:3

Intelligent extension models and their applications for non-circular curves based on trend extrapolation
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摘要 为解决众多CAD软件不具备非圆曲线延伸功能,引入趋势外推原理,研究非圆曲线智能延伸技术。建立了二次和三次多项式曲线延伸、指数曲线延伸、戈珀兹曲线延伸三类智能延伸模型,分别给出趋势外推模型的识别与选择方法,可据曲线特征点合理选用。提供了智能延伸实例,阐述了智能延伸的步骤及方法,分析了它们的延伸精度,指出模型使用范围。解决了CAD软件共性核心难题,可应用于现有CAD软件的核心升级或二次开发,以增加或完善非圆曲线延伸功能。 Lots of CAD software has no function of extension for non-circular curves. Intelligent extension-technology for non-circular curves is studied based on the principles of trend extrapolation. Four kinds of intelligent extension-models, including quadratic extension-model, cubic extension-model, exponential extension-model and Gompertz extension-model, are built. Moreover, the methods of identifying and choosing extension-models are discussed separately. Several applications of intelligent extension for non-circular curves are offered, which shows us that the extension-models can be available for approximate extension for a short distance if the shapes of non-circular curves are arbitrary. The theories in this paper, a kind of core technologies and generic key problems, can be used for upgrading or secondary development of existing CAD software.
出处 《计算机工程与应用》 CSCD 2014年第6期46-50,共5页 Computer Engineering and Applications
基金 国家自然科学基金(No.51175001) 芜湖市2012年度专利产业化项目(No.2012ZL10)
关键词 非圆曲线 趋势外推法 智能延伸 数学模型 non-circular curves trend extrapolation intelligent extension mathematical models
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  • 1李林,付强.偏最小二乘回归模型的城市水资源承载能力研究[J].水科学进展,2005,16(6):822-825. 被引量:18
  • 2丁湛,黄双华.基于威布尔分布的可靠性寿命分布模型的建立[J].电子测量技术,2007,30(3):34-35. 被引量:31
  • 3郭忠峰,龚殿尧,刘驰,徐建忠,刘相华.1700mm精轧机轧辊磨损模型的改进[J].轧钢,2007,24(3):30-32. 被引量:10
  • 4易兴元,姚新民,孙伟.混合威布尔分布及其在机械产品可靠性中的应用研究[A].2006年全国机械可靠性学术交流会论文集[C],2006.
  • 5Prabhakar Murthy D N,et al.Weibull Models[M].NewYork:Wiley,2003.
  • 6Zhang L F,et al.A study of two estimation approaches for pa-rameters of weibull distribution based on WPP[J].ReliabilityEngineering and System Safety,2007,92:360-368.
  • 7Saghafi A,et al.Improved linear regression method for estima-ting Weibull parameters[J].Theoretical and Applied FractureMechanics,2009,52:180-182.
  • 8Bucar T,et al.Reliability approximation using finite weibullmixture distributions[J].Reliability Engineering and SystemSafety,2004,84:241-251.
  • 9Prabhakar Murthy D N,et al.Weibull model selection for relia-bility modelling[J].Reliability Engineering and System Safety,2004.
  • 10Ling D,et al.A Method for Parameter Estimation of MixedWeibull DistRibution[D].The Institute of Electrical and Elec-tronics Engineers,2009.

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