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    • 2. 发明申请
    • SYSTEM AND METHOD TO ASSESS SIGNAL SIMILARITY WITH APPLICATIONS TO DIAGNOSTICS AND PROGNOSTICS
    • 用于诊断和预测的信号相似性的系统和方法
    • US20100253512A1
    • 2010-10-07
    • US12668768
    • 2008-07-17
    • John R. WagnerHany F. BassilyRobert B. Lund
    • John R. WagnerHany F. BassilyRobert B. Lund
    • G08B21/00
    • G05B23/0229
    • Signal processing technology for assessing dynamic system similarity for fault detection and other applications is based on time- and frequency-domain time series analysis techniques and compares the entire autocorrelation structure of a test and reference signal series. The test and reference signals are first subjected to similar pre-processing to help guarantee signal stationarity. Pre-processing may include formation of multivariate signal clusters, filtering and sampling. Multivariate periodograms or autocovariance functions are then calculated for each signal series. Test statistics are computed and assessed to determine the equality of the test and reference signals. When the difference between sample autocovariance functions or periodograms of such signals exceeds a preselected threshold value, fault detection signals and/or related diagnostic information are provided as output to a user.
    • 用于评估故障检测和其他应用的动态系统相似度的信号处理技术是基于时域和频域时间序列分析技术,并比较测试和参考信号系列的整个自相关结构。 测试和参考信号首先经过类似的预处理,以帮助保证信号平稳性。 预处理可以包括形成多变量信号簇,滤波和采样。 然后针对每个信号序列计算多变量周期图或自协方差函数。 计算和评估测试统计数据以确定测试和参考信号的相等性。 当这种信号的采样自协方差函数或周期图之间的差异超过预选阈值时,故障检测信号和/或相关诊断信息被提供给用户的输出。
    • 3. 发明申请
    • Controlling a Target System
    • 控制目标系统
    • US20150370227A1
    • 2015-12-24
    • US14309641
    • 2014-06-19
    • Hany F. BassilyClemens OtteSiegmund DüllMichael MüllerSteffen Udluft
    • Hany F. BassilyClemens OtteSiegmund DüllMichael MüllerSteffen Udluft
    • G05B13/02
    • G05B13/027
    • For controlling a target system, such as a gas or wind turbine or another technical system, a pool of control policies is used. The pool of control policies including a plurality of control policies and weights for weighting each control policy of the plurality of control policies are received. The plurality of control policies is weighted by the weights to provide a weighted aggregated control policy. The target system is controlled using the weighted aggregated control policy, and performance data relating to a performance of the controlled target system is received. The weights are adjusted based on the received performance data to improve the performance of the controlled target system. The plurality of control policies is reweighted by the adjusted weights to adjust the weighted aggregated control policy.
    • 为了控制诸如气体或风力涡轮机或其他技术系统的目标系统,使用一组控制策略。 接收包括用于对多个控制策略的每个控制策略加权的多个控制策略和权重的控制策略池。 多个控制策略由权重加权以提供加权聚合控制策略。 使用加权聚合控制策略控制目标系统,并且接收与受控对象系统的性能相关的性能数据。 基于所接收的性能数据来调整权重以改善受控目标系统的性能。 多个控制政策通过调整权重重新加权,以调整加权汇总控制策略。
    • 4. 发明授权
    • System and method to assess signal similarity with applications to diagnostics and prognostics
    • 用于评估诊断和预后应用的信号相似性的系统和方法
    • US08378816B2
    • 2013-02-19
    • US12668768
    • 2008-07-17
    • John R. WagnerHany F. BassilyRobert B. Lund
    • John R. WagnerHany F. BassilyRobert B. Lund
    • G08B21/00G01N9/24G01B17/02G06F17/18
    • G05B23/0229
    • Signal processing technology for assessing dynamic system similarity for fault detection and other applications is based on time- and frequency-domain time series analysis techniques and compares the entire autocorrelation structure of a test and reference signal series. The test and reference signals are first subjected to similar pre-processing to help guarantee signal stationarity. Pre-processing may include formation of multivariate signal clusters, filtering and sampling. Multivariate periodograms or autocovariance functions are then calculated for each signal series. Test statistics are computed and assessed to determine the equality of the test and reference signals. When the difference between sample autocovariance functions or periodograms of such signals exceeds a preselected threshold value, fault detection signals and/or related diagnostic information are provided as output to a user.
    • 用于评估故障检测和其他应用的动态系统相似度的信号处理技术是基于时域和频域时间序列分析技术,并比较测试和参考信号系列的整个自相关结构。 测试和参考信号首先经过类似的预处理,以帮助保证信号平稳性。 预处理可以包括形成多变量信号簇,滤波和采样。 然后针对每个信号序列计算多变量周期图或自协方差函数。 计算和评估测试统计数据以确定测试和参考信号的相等性。 当这种信号的采样自协方差函数或周期图之间的差异超过预选阈值时,故障检测信号和/或相关诊断信息被提供给用户的输出。