Intelligent machining system
    4.
    发明公开
    Intelligent machining system 失效
    智能熊熊系统。

    公开(公告)号:EP0467297A2

    公开(公告)日:1992-01-22

    申请号:EP91111856.0

    申请日:1991-07-16

    IPC分类号: G05B19/18 B24B17/10

    摘要: An intelligent machining system employs a neural network for calculating machining conditions on the basis of attribute data of a workpiece and a grinding machine. The system comprises a reference machining condition calculating unit, a neural network which receives the attribute data and provides corrections, and a correcting unit for correcting the reference machining conditions by using the corrections. Corrections which cannot be determined by means of empirical expressions or theoretical expressions are determined appropriately by the neural network previously learned. The system determines corrections for the machining conditions on the basis of machining errors decided by a neural network. The system also detects time-series machining phenomena by sensors, processes the output detection signals of the sensors by a neural network to obtain machining circumstance data. The feed rate of the tool is controlled by a fuzzy inference on the basis of the machining circumstance data.

    摘要翻译: 智能加工系统采用神经网络根据工件和磨床的属性数据计算加工条件。 该系统包括参考加工条件计算单元,接收属性数据并提供校正的神经网络,以及通过使用校正来校正参考加工条件的校正单元。 通过经验表达式或理论表达式无法确定的修正由以前学习的神经网络适当确定。 系统基于由神经网络决定的加工误差来确定加工条件的校正。 该系统还通过传感器检测时间序列加工现象,通过神经网络处理传感器的输出检测信号,获得加工环境数据。 基于加工环境数据,通过模糊推理来控制刀具的进给速度。

    A KNOWLEDGE-ENGINEERING PROTOCOL-SUITE
    7.
    发明公开
    A KNOWLEDGE-ENGINEERING PROTOCOL-SUITE 审中-公开
    协议拉力知识发展

    公开(公告)号:EP1245003A1

    公开(公告)日:2002-10-02

    申请号:EP00970863.7

    申请日:2000-10-13

    申请人: Insyst Ltd.

    IPC分类号: G06N5/00

    摘要: A Knowledge-Engineering Protocol-Suite is presented that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite (1/16) includes a search-space organizational validation method (10/1) for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. Furthermore, from alternative technological vantages, the suite relates to situations where this synergetic combining is beneficially accomplished, such as in control systems, command control systems, command control communications systems, computational apparatus associated with the aforesaid, and to quantitative modeling and measuring tools used therewith. The protocol-suite also includes facile algorithmic tools for use with the method and a process-modeling computer for use in a distributed asynchronous system of modeling computers (1/15).