公开(公告)号：US5298889A

公开(公告)日：1994-03-29

申请号：US895080

申请日：1992-06-08

Applicant: Edward N. Diei ,  Jerry H. Carmichael ,  Steven R. Hayashi

Inventor： Edward N. Diei ,  Jerry H. Carmichael ,  Steven R. Hayashi

IPC: G01N29/14 ,  G05B19/4065 ,  G08B21/00

CPC classification number: G01N29/14 ,  G01N29/449 ,  G05B19/4065

Abstract: A composite low frequency high frequency electrical signal from a metal cutting tool in a metal cutting operation is processed through separate high frequency and low frequency systems and the resulting signals digitized and combined for analysis of a tool break event.

Abstract translation: 在金属切割操作中来自金属切削工具的复合低频高频电信号通过单独的高频和低频系统进行处理，并且所得到的信号被数字化并组合用于分析工具断开事件。

公开(公告)号：US5579232A

公开(公告)日：1996-11-26

申请号：US401333

申请日：1995-03-09

Applicant: David W. Tong ,  Kenneth M. Martin ,  Jerry H. Carmichael ,  Edward N. Diei

Inventor： David W. Tong ,  Kenneth M. Martin ,  Jerry H. Carmichael ,  Edward N. Diei

IPC: G05B19/4065 ,  G06F19/00

CPC classification number: G05B19/4065 ,  G05B2219/33268 ,  G05B2219/33296 ,  G05B2219/34047 ,  G05B2219/37245 ,  Y10S706/912

Abstract: A system and method for monitoring vibrations of a cutting tool uses a neural network for classifying signal features as break or non-break or, in another embodiment, as non-break or abnormal. A vibration signal is produced by an accelerometer, positioned to sense vibrations at the tool-workpiece interface. The signal is pre-processed to extract low frequency machining noise and detect the energy in a higher frequency band. The signal is then sampled and segments of the digitized signals are processed by digital logic into feature vectors for input to a trained neural net having two output nodes for classification. The use of a neural net provides performance improvement and economies over previously known heuristic methods of signal analysis.

Abstract translation: 用于监测切割工具的振动的系统和方法使用神经网络将信号特征分类为断裂或非断裂，或者在另一个实施例中作为非断裂或异常。 振动信号由加速度计产生，其被定位成感测在工具 - 工件界面处的振动。 信号被预处理以提取低频加工噪声并检测更高频带中的能量。 然后对信号进行采样，并将数字化信号的段由数字逻辑处理成特征向量，以输入到具有两个用于分类的输出节点的训练神经网络。 神经网络的使用提供了相对于先前已知的启发式信号分析方法的性能改进和经济性。

公开(公告)号：US5319357A

公开(公告)日：1994-06-07

申请号：US895320

申请日：1992-06-08

Applicant: Edward N. Diei ,  Jerry H. Carmichael ,  Steven R. Hayashi

Inventor： Edward N. Diei ,  Jerry H. Carmichael ,  Steven R. Hayashi

IPC: G01H1/00 ,  G05B19/4065 ,  G08B21/20 ,  G08B21/00

CPC classification number: G08B21/187 ,  G01H1/003 ,  G05B19/4065 ,  G05B2219/37245 ,  G05B2219/37434 ,  G05B2219/37493

Abstract: Breaking of a cutter insert in a multiple insert metal cutter is detected by selecting a periodic vibration generated electrical signal having components which track individual insert contribution. These components are filtered to provide RMS values whose predetermined ratio values indicate insert breakage.

Abstract translation: 通过选择具有跟踪单个插入物贡献的部件的周期性振动产生的电信号来检测多刀插入金属切割器中的切割刀片的断裂。 这些组件被过滤以提供RMS值，其预定比率值表示插入损坏。

公开(公告)号：US5266929A

公开(公告)日：1993-11-30

申请号：US888065

申请日：1992-05-26

Applicant: Jerry H. Carmichael ,  Edward N. Diei

Inventor： Jerry H. Carmichael ,  Edward N. Diei

IPC: G01N29/14 ,  G05B19/4065 ,  G08B21/00

CPC classification number: G01N29/14 ,  G05B19/4065

Abstract: In a metal cutting tool wear indicator system, a ratio of an estimated ultrasonic emission signal from a metal cutting process to a measured ultrasonic emission signal, e.g. UE/UE is utilized in place of a prior ratio of horsepower to ultrasonic emission, e.g. HP/UE, together with a continuous revision of the estimator during the cutting process.

Abstract translation: 在金属切削刀具磨损指示器系统中，来自金属切削加工的估计的超声波发射信号与所测量的超声波发射信号的比率，例如。 ＆upbar＆U /＆upbar＆U用于代替先前的功率与超声波发射的比例，例如。 HP / UE，以及在切割过程中对估计器的连续修订。