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1. 发明申请

WO2008142386A1 MACHINING PROCESS MONITOR 审中-公开
标题翻译：加工过程监控
公开(公告)号：WO2008142386A1
公开(公告)日：2008-11-27
申请号：PCT/GB2008/001700
申请日：2008-05-16
申请人： ROLLS-ROYCE PLC , SAGE, Colin , CLIFTON, David, Andrew
发明人： SAGE, Colin , CLIFTON, David, Andrew
IPC分类号： G05B19/4065
CPC分类号： G05B19/4065 , G05B2219/34048 , G05B2219/37519 , G05B2219/37545 , G05B2219/50197
摘要： The invention concerns a manufacturing process monitor, in particular a machining process, and a method of multi-parameter data acquisition and analysis for process diagnostics. Multiple sensors (14, 16, 18, 20, 22) are attached to a machine tool (2) to monitor a plurality of machining parameters including machine power consumption, acoustic emissions, vibration, power and force. During each operation the sensor outputs (24, 26, 28, 30, 32, 34, 38, 40) are repeatedly sampled (36) and processed (46) to provide a signature (54) characteristic of the operation. The data is analysed to determine the limits of a normal machining operation, including the condition and status of the tools (6) and equipment (2). By storing the signatures (50) for a large number of operations of known "normal" and "abnormal" outcomes a data population is created with which new signatures can be compared and a diagnostic indication (54) produced. Warnings of abnormalities and abnormal events, such as tool damage, may be produced automatically and in real-time.
摘要翻译：本发明涉及制造过程监视器，特别是加工过程，以及用于过程诊断的多参数数据采集和分析方法。多个传感器（14,16,18,20,22）连接到机床（2）以监视多个加工参数，包括机器功率消耗，声发射，振动，功率和力。在每次操作期间，传感器输出（24,26,28,30,32,34,38,40）被重复采样（36）和处理（46）以提供操作的特征（54）。分析数据以确定正常加工操作的限制，包括工具（6）和设备（2）的状态和状态。通过存储已知“正常”和“异常”结果的大量操作的签名（50），创建可以比较新签名的数据群，并产生诊断指示（54）。可能会自动和实时地产生异常和异常事件的警告，如刀具损坏。

2. 发明申请

WO2009127799A1 METHOD AND APPARATUS FOR MEASURING BREATHING RATE 审中-公开
标题翻译：测量呼吸频率的方法和装置
公开(公告)号：WO2009127799A1
公开(公告)日：2009-10-22
申请号：PCT/GB2009/000428
申请日：2009-02-18
申请人： OXFORD BIOSIGNALS LIMITED , TARASSENKO, Lionel , FLEMING, Susannah , CLIFTON, David, Andrew
发明人： TARASSENKO, Lionel , FLEMING, Susannah , CLIFTON, David, Andrew
IPC分类号： A61B5/0452 , A61B5/08 , A61B5/0205
CPC分类号： A61B5/0816 , A61B5/0456
摘要： A method and apparatus for measuring the breathing rate from the electrocardiograph signal (ECG) by measuring the frequency of modulation of the R-R intervals using auto-regressive modelling. The R peaks are detected using a standard QRS detection technique and the R-R intervals are measured to produce a time series of values. These are resampled evenly and the resulting series is windowed in overlapping windows of typically 30 seconds' length, overlapping by 25 seconds, to obtain discrete sections which are AR modelled using an all- pole auto-regressive (AR) model. The AR model allows identification of the dominant frequencies in the signal and the pole corresponding to the breathing rate is identified- by considering its magnitude and the breathing rate it represents. Each 30 second window gives a breathing rate estimate and use of successive windows displaced by 5 seconds results in a breathing rate estimate every 5 seconds. The time series of breathing rate estimates can be Kalman filtered to reject measurements which have a large change in magnitude or represent a large change in breathing rate. The measurements may also be fused with measurements from another sensor.
摘要翻译：一种通过使用自回归模型测量R-R间隔的调制频率从心电图仪信号（ECG）测量呼吸频率的方法和装置。使用标准QRS检测技术检测R峰，并测量R-R间隔以产生时间序列值。这些被均匀重采样，并且所得到的系列在通常30秒长度的重叠窗口中被窗口化，重叠25秒，以获得使用全极自回归（AR）模型进行AR建模的离散部分。 AR模型允许识别信号中的主要频率，并且通过考虑其表示的大小和呼吸速率来识别与呼吸率相对应的极点。每30秒窗口给出呼吸速率估计值，并且使用连续的窗口移位5秒会导致呼吸速率估计每5秒钟。呼吸速率估计的时间序列可以被卡尔曼滤波以排除具有大幅度变化或表示呼吸速率的大变化的测量。测量结果也可以与来自另一传感器的测量结合。

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