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21. 发明授权

US06636771B1 Method and system for analyzing continuous parameter data for diagnostics and repairs 失效
标题翻译：用于分析连续参数数据进行诊断和维修的方法和系统
公开(公告)号：US06636771B1
公开(公告)日：2003-10-21
申请号：US09688105
申请日：2000-10-13
申请人： Anil Varma , Nicholas Edward Roddy , David Richard Gibson
发明人： Anil Varma , Nicholas Edward Roddy , David Richard Gibson
IPC分类号： G05B902
CPC分类号： G06F11/2257 , B61C17/04 , B61C17/12 , G05B23/0235 , G05B23/0286 , G06F11/2268
摘要： The present invention discloses system and method for analyzing continuous parameter data from a malfunctioning locomotive or other large land-based, self-powered transport equipment. The method allows for receiving new continuous parameter data comprising a plurality of anomaly definitions from the malfunctioning equipment. The method further allows for selecting a plurality of distinct anomaly definitions from the new continuous parameter data. Respective generating steps allow for generating at least one distinct anomaly definition cluster from the plurality of distinct anomaly definitions and for generating a plurality of weighted repair and distinct anomaly definition cluster combinations. An identifying step allows for identifying at least one repair for the at least one distinct anomaly definition cluster using the plurality of weighted repair and distinct anomaly definition cluster combinations.
摘要翻译：本发明公开了一种从故障机车或其他大型陆基自供电运输设备中分析连续参数数据的系统和方法。该方法允许从故障设备接收包括多个异常定义的新的连续参数数据。该方法还允许从新的连续参数数据中选择多个不同的异常定义。相应的生成步骤允许从多个不同的异常定义生成至少一个不同的异常定义集群，并且用于生成多个加权修复和不同的异常定义集群组合。识别步骤允许使用多个加权修复和不同的异常定义集群组合来识别所述至少一个不同的异常定义集群的至少一个修复。

22. 发明授权

US06625589B1 Method for adaptive threshold computation for time and frequency based anomalous feature identification in fault log data 失效
标题翻译：用于故障日志数据中基于时间和频率的异常特征识别的自适应阈值计算方法
公开(公告)号：US06625589B1
公开(公告)日：2003-09-23
申请号：US09633094
申请日：2000-08-04
申请人： Anil Varma , Nicholas Edward Roddy
发明人： Anil Varma , Nicholas Edward Roddy
IPC分类号： G06F1700
CPC分类号： G05B23/0289
摘要： An algorithm for improving the probability of identifying the repair that will correct a fault aboard a machine, such as a locomotive. The invention utilizes historical fault log and repair data and further calculates the number of times a particular fault occurs in a given number of days and also the number of times a particular fault occurs on each day. Averages are calculated for these results and when the number of fault occurrences exceed some or more of those averages, then these faults are deemed statistically significant for subsequent processing.
摘要翻译：一种用于提高识别修复机率（例如机车）故障概率的算法。本发明利用历史故障日志和修复数据，并进一步计算特定故障在给定天数中发生的次数以及特定故障发生在每一天的次数。对这些结果计算平均值，当故障发生次数超过这些平均值的某些或更多时，则对于后续处理，这些故障被认为具有统计意义。

23. 发明授权

US06336065B1 Method and system for analyzing fault and snapshot operational parameter data for diagnostics of machine malfunctions 有权
标题翻译：用于分析机器故障诊断的故障和快照操作参数数据的方法和系统
公开(公告)号：US06336065B1
公开(公告)日：2002-01-01
申请号：US09438271
申请日：1999-11-12
申请人： David Richard Gibson , Nicholas Edward Roddy , Anil Varma
发明人： David Richard Gibson , Nicholas Edward Roddy , Anil Varma
IPC分类号： G06F1125
CPC分类号： G05B23/0281 , B61C17/04 , B61C17/12 , G06F11/2257 , G06F11/2268 , Y02T30/10
摘要： A method for analyzing fault log data and snapshot operational parameter data from a machine undergoing diagnostics is provided. A receiving step allows for receiving fault log data comprising a plurality of faults from the machine. Respective executing steps allow for executing a set of noise-reduction filters upon the received fault log data to generate noise-reduced fault log data, and for executing a set of candidate snapshot anomalies upon the noise-reduced data to generate data predictive of malfunctions of the machine.
摘要翻译：提供了一种从进行诊断的机器分析故障日志数据和快照操作参数数据的方法。接收步骤允许从机器接收包括多个故障的故障日志数据。相应的执行步骤允许在接收到的故障日志数据上执行一组降噪滤波器以产生噪声降低的故障日志数据，并且用于在减少噪声的数据上执行一组候选快照异常以产生预测故障日志的故障的数据机器。

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