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    • 5. 发明授权
    • Systems and methods for prediction of trips
    • 用于预测行程的系统和方法
    • US09122991B2
    • 2015-09-01
    • US13600387
    • 2012-08-31
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar Pandey
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar Pandey
    • G06N5/04F01D21/00G05B23/02F02C9/00
    • G06N5/04F01D21/00F02C9/00F05D2260/80F05D2270/44G05B23/0283
    • A system is disclosed. The system includes a processing subsystem that receives component data signals corresponding to a plurality of parameters of a device, wherein the processing subsystem generates one or more sets of state category component data by allocating the component data signals into respective one or more sets of state category component data, determines a plurality of first dynamic thresholds and a plurality of second dynamic thresholds corresponding to at least one of the one or more sets of state category component data based upon a respective set of state category component data in the one or more sets of state category component data and a respective parameter in the plurality of parameters, and determines an impending trip of the device utilizing the plurality of first dynamic thresholds and the plurality of second dynamic thresholds.
    • 公开了一种系统。 该系统包括处理子系统,其接收对应于设备的多个参数的分量数据信号,其中处理子系统通过将分量数据信号分配到相应的一组或多组状态类别中来生成一组或多组状态类别分量数据 组件数据,基于一组或多组状态类别组件数据中的相应集合,确定与所述一组或多组状态类别分量数据中的至少一个对应的多个第一动态阈值和多个第二动态阈值 状态类别分量数据和多个参数中的相应参数,并且使用多个第一动态阈值和多个第二动态阈值来确定设备的即将跳闸。
    • 6. 发明授权
    • Method and system for compressor health monitoring
    • 压缩机健康监测方法与系统
    • US08471702B2
    • 2013-06-25
    • US12976255
    • 2010-12-22
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar PandeySudhanshu Rai
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar PandeySudhanshu Rai
    • G08B21/00G08B17/00G01L7/00G01M15/00G01K1/08
    • F04B51/00F02C9/00F05D2260/80G01M15/14
    • A method for monitoring the health of a compressor of a gas turbine is disclosed. The method includes receiving a plurality of turbine data points, wherein the plurality of turbine data points may include one or more operating parameters, at least one of a computer discharge temperature (CTD), and one or more performance parameters. The plurality of turbine data points may be categorized based on the one or more operating parameters. A statistical variability measure of at least one of the CTD and the one or more performance parameters may be computed for each of the plurality of bands. An alarm indicator may be computed based on the at least one statistical variability measure. The method may also include combining two or more of the operating parameters, the CTD and the performance parameters using sensor fusion techniques. The alarm indicator may be computed based on the combined parameters.
    • 公开了一种用于监测燃气轮机的压缩机的健康状况的方法。 该方法包括接收多个涡轮数据点,其中多个涡轮数据点可以包括一个或多个运行参数,计算机排放温度(CTD)和一个或多个性能参数中的至少一个。 可以基于一个或多个操作参数对多个涡轮数据点进行分类。 可以为多个频带中的每个频带计算CTD和一个或多个性能参数中的至少一个的统计变异性度量。 可以基于至少一个统计变异性度量来计算报警指示符。 该方法还可以包括使用传感器融合技术组合两个或多个操作参数,CTD和性能参数。 可以基于组合的参数来计算报警指示符。
    • 8. 发明申请
    • SYSTEMS AND METHODS FOR PREDICTION OF TRIPS
    • 用于预测TRIPS的系统和方法
    • US20140244567A1
    • 2014-08-28
    • US13600387
    • 2012-08-31
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar Pandey
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar Pandey
    • G06N5/04
    • G06N5/04F01D21/00F02C9/00F05D2260/80F05D2270/44G05B23/0283
    • A system is disclosed. The system includes a processing subsystem that receives component data signals corresponding to a plurality of parameters of a device, wherein the processing subsystem generates one or more sets of state category component data by allocating the component data signals into respective one or more sets of state category component data, determines a plurality of first dynamic thresholds and a plurality of second dynamic thresholds corresponding to at least one of the one or more sets of state category component data based upon a respective set of state category component data in the one or more sets of state category component data and a respective parameter in the plurality of parameters, and determines an impending trip of the device utilizing the plurality of first dynamic thresholds and the plurality of second dynamic thresholds.
    • 公开了一种系统。 该系统包括处理子系统,其接收对应于设备的多个参数的分量数据信号,其中处理子系统通过将分量数据信号分配到相应的一组或多组状态类别中来生成一组或多组状态类别分量数据 组件数据,基于一组或多组状态类别组件数据中的相应集合,确定与所述一组或多组状态类别分量数据中的至少一个对应的多个第一动态阈值和多个第二动态阈值 状态类别分量数据和多个参数中的相应参数,并且使用多个第一动态阈值和多个第二动态阈值来确定设备的即将跳闸。