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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。
    • 2. 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。