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    • 1. 发明申请
    • TOOL CONDITION MONITORING SYSTEM
    • 工具条件监控系统
    • WO1997005982A1
    • 1997-02-20
    • PCT/US1996002220
    • 1996-02-20
    • TRI-WAY MACHINE LTD.
    • TRI-WAY MACHINE LTD.JONES, Joel, W.WU, Ya
    • B23B49/00
    • G05B19/4065G05B2219/37256G05B2219/37348G05B2219/37457G05B2219/37525G05B2219/50197G05B2219/50203
    • The tool monitoring system (10) operates generally in two modes: learning mode (40) and monitor mode (84). In learning mode (40), the tool monitoring system gathers statistical data on the power consumption of tools of the selected tool type during learning cycles. A power threshold (78) is generated based upon the statistical data. The tool monitoring system (10) then counts the number of crossings by each of the learning cycles of the power threshold (78) and generates statistical data regarding the number of crossings (56). Preferably, the mathematical operation of wavelet packet transform (60) is used to calculate the power threshold (78). Feature wavelet packets of the power consumption signal (28) of the tool are calculated. The power consumption signal (28) is then reconstructed from the feature wavelet packets (50) and used to determine the power threshold (78).
    • 工具监控系统(10)通常以两种模式操作:学习模式(40)和监视模式(84)。 在学习模式(40)中,工具监控系统在学习周期中收集所选刀具类型刀具功耗的统计数据。 基于统计数据生成功率阈值(78)。 然后,工具监视系统(10)通过功率阈值(78)的每个学习周期对交叉数进行计数,并产生关于交叉数(56)的统计数据。 优选地,使用小波包变换(60)的数学运算来计算功率阈值(78)。 计算工具的功耗信号(28)的特征小波包。 然后从特征小波包(50)重建功耗信号(28),并用于确定功率阈值(78)。
    • 2. 发明申请
    • METHOD AND APPARATUS FOR FRACTURING CONNECTING RODS AND THE LIKE
    • 用于破碎连接杆和类似物的方法和装置
    • WO1995026257A1
    • 1995-10-05
    • PCT/US1995003620
    • 1995-03-22
    • TRI-WAY MACHINE LTD.JONES, Joel, W.PRINCE, David, R.
    • TRI-WAY MACHINE LTD.
    • B23P17/02
    • B23D31/003
    • A process and apparatus for fracturing an integral preform (1A) into a bearing cap (2) and connecting rod (1) by slidingly supporting the preform and splitting with a ram. The apparatus comprises a guide member (18) whereon a first slide member (5) fixed to the upper part (7A) of a split mandrel (7) moves vertically (5A) in a first guideway (18B). Means (11, 11A, 40) urge a second slide member (10), which is slidingly mounted to the first guide member (5) for parallel movement, to contact bolt seat shoulders (8, 9) via projections (36, 38) to securely hold the bearing cap (2) when the preform (1A) is received in the split mandrel (7). The lower part (19) of the split mandrel is fixed to the guide member (18). A wedge member (20) enters a tapered passageway (19A) to force the mandrel apart and consequently splits the preform (1A). Additional secure holding means are provided by static (14, 15) and dynamic (16, 17) locators.
    • 一种用于通过滑动地支撑预成型件并用冲头分裂来将整体式预制件(1A)压裂成轴承盖(2)和连杆(1)的方法和装置。 该装置包括导向件(18),其中固定在分裂心轴(7)的上部(7A)上的第一滑动构件(5)在第一导轨(18B)中垂直移动(5A)。 装置(11,11A,40)推动滑动地安装到第一引导构件(5)上用于平行移动的第二滑动构件(10)通过突出部(36,38)接触螺栓座肩(8,9) 当预成型件(1A)被容纳在分离心轴(7)中时,牢固地保持轴承盖(2)。 分裂心轴的下部(19)固定到引导构件(18)。 楔形构件(20)进入锥形通道(19A)以迫使心轴分开并因此分裂预成型件(1A)。 附加的固定保持装置由静态(14,15)和动态(16,17)定位器提供。
    • 5. 发明公开
    • TOOL CONDITION MONITORING SYSTEM
    • WERKZEUGZUSTANDSKONTROLLSYSTEM
    • EP0842006A4
    • 1999-01-07
    • EP96907067
    • 1996-02-20
    • TRI WAY MACHINE LTD
    • JONES JOEL WWU YA
    • G05B19/4065B23B49/00B23Q17/09G01R19/17G06F19/00
    • G05B19/4065G05B2219/37256G05B2219/37348G05B2219/37457G05B2219/37525G05B2219/50197G05B2219/50203
    • The tool monitoring system (10) operates generally in two modes: learning mode (40) and monitor mode (84). In learning mode (40), the tool monitoring system gathers statistical data on the power consumption of tools of the selected tool type during learning cycles. A power threshold (78) is generated based upon the statistical data. The tool monitoring system (10) then counts the number of crossings by each of the learning cycles of the power threshold (78) and generates statistical data regarding the number of crossings (56). Preferably, the mathematical operation of wavelet packet transform (60) is used to calculate the power threshold (78). Feature wavelet packets of the power consumption signal (28) of the tool are calculated. The power consumption signal (28) is then reconstructed from the feature wavelet packets (50) and used to determine the power threshold (78).
    • 工具监控系统(10)通常以两种模式操作:学习模式(40)和监视模式(84)。 在学习模式(40)中,工具监控系统在学习周期中收集所选刀具类型刀具功耗的统计数据。 基于统计数据生成功率阈值(78)。 然后,工具监视系统(10)通过功率阈值(78)的每个学习周期对交叉数进行计数,并生成关于交叉数(56)的统计数据。 优选地,使用小波包变换(60)的数学运算来计算功率阈值(78)。 计算工具的功耗信号(28)的特征小波包。 然后从特征小波包(50)重构功耗信号(28),并用于确定功率阈值(78)。