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    • 1. 发明授权
    • System for maintaining and analyzing manufacturing equipment and method thereof
    • 用于维护和分析制造设备的系统及其方法
    • US08306928B2
    • 2012-11-06
    • US12360234
    • 2009-01-27
    • Chun-I ChuChing-Shun ChenTze-Chin Chou
    • Chun-I ChuChing-Shun ChenTze-Chin Chou
    • G06Q30/00G07B15/02
    • G06N99/005G05B17/02G05B23/0243
    • A system and a method are used for maintaining and analyzing manufacturing equipment. The system includes an embedded forecast device (EFD) configured in the manufacturing equipment and a server in communication with the EFD. The EFD is built in with a feature extraction (FE) algorithm and a forecast model (FM), so as to obtain a real time data of the manufacturing equipment and carry out forecasts on the manufacturing equipment to generate a forecast result. The server has various types of FE algorithms and modeling algorithms, which are selected and combined by a user for training and building a required FM and setting related parameters. The embedded forecast device also has a novelty detection model (NDM), which is capable of informing the server to retrain the models when the manufacturing equipment fails and then to update the FM and the NDM of the embedded forecast device.
    • 使用系统和方法来维护和分析制造设备。 该系统包括在制造设备中配置的嵌入式预测设备(EFD)和与EFD通信的服务器。 EFD内置有特征提取(FE)算法和预测模型(FM),以获得制造设备的实时数据,并对制造设备进行预测,以产生预测结果。 服务器具有各种类型的FE算法和建模算法,由用户选择和组合,用于训练和构建所需的FM并设置相关参数。 嵌入式预测设备还具有新颖性检测模型(NDM),能够通知服务器在制造设备故障时对模型进行再训练,然后更新嵌入式预测设备的FM和NDM。
    • 3. 发明申请
    • Method of evolutionary optimization algorithm for structure design
    • 结构设计进化优化算法
    • US20080183436A1
    • 2008-07-31
    • US12000069
    • 2007-12-07
    • Yu-Ming ChenChun-I ChuYa-Ping LeeTze-Chin Chou
    • Yu-Ming ChenChun-I ChuYa-Ping LeeTze-Chin Chou
    • G06F17/50
    • G06F17/5018G06F17/5086G06F2217/08
    • The present invention discloses a method of evolutionary optimization algorithm for structure design which comprises steps of: meshing a geometric structure with applied geometric boundary conditions; analyzing the meshed geometric structure by finite element analysis to determine the relative stress distribution of the structure; and evolving the geometric structure by migrating geometric boundary nodes. During evolution, meshing and finite element analysis are repeated to perform structural optimization evolutionally till the evolving design converged to an optimum. The present invention overcomes the mesh-dependency problem in most of structural optimization algorithms in the field of structure topology optimization. In addition, the optimized design of the present invention possesses smooth geometric boundaries. Moreover, structure topology resolutions can be controlled and capable of producing designs that are very close to exact theoretical analysis.
    • 本发明公开了一种用于结构设计的进化优化算法的方法,包括以下步骤:将几何结构与应用的几何边界条件进行啮合; 通过有限元分析分析网格几何结构,确定结构的相对应力分布; 并通过迁移几何边界节点来演化几何结构。 在进化过程中,重复进行网格划分和有限元分析以进行结构优化,直到不断变化的设计收敛到最佳状态。 本发明克服了结构拓扑优化领域的大多数结构优化算法中的网格依赖问题。 此外,本发明的优化设计具有平滑的几何边界。 此外,可以控制结构拓扑分辨率,并能够产生非常接近精确理论分析的设计。
    • 4. 发明申请
    • SYSTEM FOR MAINTAINING AND ANALYZING MANUFACTURING EQUIPMENT AND METHOD THEREOF
    • 用于维护和分析制造设备的系统及其方法
    • US20100152878A1
    • 2010-06-17
    • US12360234
    • 2009-01-27
    • Chun-I ChuChing-Shun ChenTze-Chin Chou
    • Chun-I ChuChing-Shun ChenTze-Chin Chou
    • G06F15/18G06F17/00
    • G06N99/005G05B17/02G05B23/0243
    • A system and a method are used for maintaining and analyzing manufacturing equipment. The system includes an embedded forecast device (EFD) configured in the manufacturing equipment and a server in communication with the EFD. The EFD is built in with a feature extraction (FE) algorithm and a forecast model (FM), so as to obtain a real time data of the manufacturing equipment and carry out forecasts on the manufacturing equipment to generate a forecast result. The server has various types of FE algorithms and modeling algorithms, which are selected and combined by a user for training and building a required FM and setting related parameters. The embedded forecast device also has a novelty detection model (NDM), which is capable of informing the server to retrain the models when the manufacturing equipment fails and then to update the FM and the NDM of the embedded forecast device.
    • 使用系统和方法来维护和分析制造设备。 该系统包括在制造设备中配置的嵌入式预测设备(EFD)和与EFD通信的服务器。 EFD内置有特征提取(FE)算法和预测模型(FM),以获得制造设备的实时数据,并对制造设备进行预测,以产生预测结果。 服务器具有各种类型的FE算法和建模算法,由用户选择和组合,用于训练和构建所需的FM并设置相关参数。 嵌入式预测设备还具有新颖性检测模型(NDM),能够通知服务器在制造设备故障时对模型进行再训练,然后更新嵌入式预测设备的FM和NDM。