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    System and method for integrating a plurality of diagnostic related information
    1.
    发明授权
    System and method for integrating a plurality of diagnostic related information 失效
    用于集成多个诊断相关信息的系统和方法

    公开(公告)号：US06473659B1

    公开(公告)日：2002-10-29

    申请号：US09058755

    申请日：1998-04-10

    申请人： Rasiklal Punjalal Shah ,  Vipin Kewal Ramani ,  Susan Teeter Wallenslager ,  Christopher James Dailey

    发明人： Rasiklal Punjalal Shah ,  Vipin Kewal Ramani ,  Susan Teeter Wallenslager ,  Christopher James Dailey

    IPC分类号： G05B902

    CPC分类号： G06F19/321 ,  G06F11/2242 ,  G06F11/2252 ,  G06F19/00 ,  G16H40/40

    摘要： This invention provides a system and method for integrating a plurality of diagnostic information from a multiple of sources. In this invention, there is a site specific database which contains site specific information for a machine. A plurality of diagnostic related information is obtained from the machine. A diagnostic router collects the site specific information for the machine and the plurality of diagnostic related information and generates a current incident record therefrom. An approved incident record database contains a plurality of approved incident records obtained from a plurality of machines. An integrator finds approved incident records from the approved incident record database that most closely match the current incident record.

    摘要翻译： 本发明提供一种用于从多个源集成多个诊断信息的系统和方法。 在本发明中，存在一个站点特定数据库，其中包含机器的站点特定信息。 从机器获得多个诊断相关信息。 诊断路由器收集机器的站点特定信息和多个诊断相关信息，并从其生成当前事件记录。 批准的事件记录数据库包含从多个机器获得的多个批准的事件记录。 集成商从批准的事件记录数据库中发现与当前事件记录最匹配的已批准事件记录。

    Diagnostic system with learning capabilities
    4.
    发明授权
    Diagnostic system with learning capabilities 失效
    具有学习能力的诊断系统

    公开(公告)号：US06442542B1

    公开(公告)日：2002-08-27

    申请号：US09415408

    申请日：1999-10-08

    申请人： Vipin Kewal Ramani ,  Rasiklal Punjalal Shah ,  Ramesh Ramachandran ,  Piero Patrone Bonissone ,  Yu-To Chen ,  Phillip Edward Steen ,  John Andrew Johnson

    发明人： Vipin Kewal Ramani ,  Rasiklal Punjalal Shah ,  Ramesh Ramachandran ,  Piero Patrone Bonissone ,  Yu-To Chen ,  Phillip Edward Steen ,  John Andrew Johnson

    IPC分类号： G06F1730

    CPC分类号： G01R31/2846 ,  G06F11/2257 ,  Y10S707/915 ,  Y10S707/99933 ,  Y10S707/99945

    摘要： A diagnostic system is provided for identifying faults in a machine (e.g., CT scanner, MRI system, x-ray apparatus) by analyzing a data file generated thereby. The diagnostic system includes a trained database containing a plurality of trained data, each trained data associated with one of plurality of known fault types. Each trained data is represented by a trained set of feature values and corresponding weight values. Once a data file is generated by the machine, a current set of feature values are extracted from the data file by performing various analyses (e.g., time domain analysis, frequency domain analysis, wavelet analysis). The current set of feature values extracted is analyzed by a fault detector which produces a candidate set of faults based on the trained set of feature values and corresponding weight values for each of the fault types. The candidate set of faults produced by the fault detector is presented to a user along with a recommend repair procedure. In cases where no fault is identified or in response to a misdiagnosis produced by the diagnostic system, the user may interactively input a faulty condition associated with the machine being diagnosed (e.g., based on his/her experience). The diagnostic system further includes a learning subsystem which automatically updates the plurality of trained data based on the faulty condition input by the user.

    摘要翻译： 提供诊断系统，用于通过分析由此产生的数据文件来识别机器中的故障（例如，CT扫描仪，MRI系统，x射线设备）。 诊断系统包括训练数据库，其包含多个训练数据，每个训练数据与多个已知故障类型之一相关联。 每个经过训练的数据由经过训练的特征值组和对应的权重值表示。 一旦数据文件由机器生成，通过执行各种分析（例如，时域分析，频域分析，小波分析）从数据文件中提取当前的一组特征值。 提取的当前特征值组由故障检测器分析，故障检测器基于经过训练的特征值集合和每个故障类型的对应权重值产生候选的故障集合。 由故障检测器产生的候选故障集与推荐的修复过程一起呈现给用户。 在没有发现故障或者响应诊断系统产生的误诊的情况下，用户可以交互地输入与被诊断的机器相关联的故障状况（例如，基于他/她的经验）。 诊断系统还包括学习子系统，该学习子系统基于用户输入的故障条件自动更新多个经过训练的数据。

    Method and system for diagnosing faults in imaging scanners
    7.
    发明授权
    Method and system for diagnosing faults in imaging scanners 失效
    成像扫描仪诊断故障的方法和系统

    公开(公告)号：US06275559B1

    公开(公告)日：2001-08-14

    申请号：US09415409

    申请日：1999-10-08

    申请人： Vipin Kewal Ramani ,  Rasiklal Punjalal Shah ,  Peter Michael Edic ,  Shankar Visvanathan Guru ,  Abdalmajeid Musa Alyassin ,  Randal Vincent Dusing

    发明人： Vipin Kewal Ramani ,  Rasiklal Punjalal Shah ,  Peter Michael Edic ,  Shankar Visvanathan Guru ,  Abdalmajeid Musa Alyassin ,  Randal Vincent Dusing

    IPC分类号： A61B603

    CPC分类号： G06T1/0007 ,  A61B6/583

    摘要： A system is provided for identifying faults in a non-OEM computed tomography system having components in connection with the detectors to reconstruct an image. Then, correlation values are derived from baseline reference data files and current data files collected after a fault is suspected in the CT system. The correlation values are compared against a threshold to identify suspect detectors and a pattern recognition algorithm is applied to determine if the suspect detectors are faulty or if one of the components processing the output signals has failed. If baseline files are unavailable, the identification of faulty components is accomplished by performing correlation between the current data files and average profile values.

    摘要翻译： 提供了一种用于识别非OEM计算机断层摄影系统中的故障的系统，其具有与检测器相关的部件以重构图像。 然后，相关值从基准参考数据文件和在CT系统中怀疑发生故障之后收集的当前数据文件导出。 将相关值与阈值进行比较以识别可疑检测器，并且应用模式识别算法来确定可疑检测器是否有故障，或者处理输出信号的组件之一是否失败。 如果基线文件不可用，则通过执行当前数据文件和平均配置文件值之间的相关性来实现故障组件的识别。

    Method and system for canceling noise and compressing data from a motor phase angle sensor
    8.
    发明授权
    Method and system for canceling noise and compressing data from a motor phase angle sensor 有权
    从电机相位角传感器消除噪声和压缩数据的方法和系统

    公开(公告)号：US07085686B1

    公开(公告)日：2006-08-01

    申请号：US09262934

    申请日：1999-03-05

    申请人： Yu-To Chen ,  Sharon Shihua Liu ,  Vipin Kewal Ramani ,  Nicolas Wadih Chbat

    发明人： Yu-To Chen ,  Sharon Shihua Liu ,  Vipin Kewal Ramani ,  Nicolas Wadih Chbat

    IPC分类号： G06F15/00

    CPC分类号： H03M7/30

    摘要： A method and system for canceling noise and compressing data from a motor phase angle sensor. In this invention, phase angle data is sampled at a first sampling rate to generate a sampled phase angle. The sampled phase angle signal is sub-sampled at a second sampling rate to generate a sub-sampled phase angle signal which is transformed by subtracting each of the sub-sampled data points of the sub-sampled signal from 90 degrees to generate a transformed signal. The transformed phase angle signal is then convoluted with a wavelet signal to generate a convoluted phase angle signal. Next, a phase angle range signal is generated by calculating the range between the largest and smallest convoluted data points within each of a plurality of segments of the convoluted signal. A moving average calculation is performed on the phase angle range signal to generate a moving average signal.

    摘要翻译： 一种抵消电机相位角传感器噪声和压缩数据的方法和系统。 在本发明中，以第一采样率对相位角数据进行采样以产生采样的相位角。 采样的相位角信号以第二采样率进行子采样，以产生子采样相位角信号，该信号通过从90度减去子采样信号的每个子采样数据点进行变换，以产生变换信号 。 然后将经变换的相位角信号与小波信号进行卷积以产生卷积相位角信号。 接下来，通过计算卷积信号的多个段内的最大和最小的卷积数据点之间的范围来生成相位角范围信号。 对相位角范围信号进行移动平均运算，生成移动平均信号。