Method and system for analyzing fault and quantized operational data for automated diagnostics of locomotives
    1.
    发明授权
    Method and system for analyzing fault and quantized operational data for automated diagnostics of locomotives 失效
    用于分析机车自动诊断故障和量化操作数据的方法和系统

    公开(公告)号:US06981182B2

    公开(公告)日:2005-12-27

    申请号:US10063601

    申请日:2002-05-03

    IPC分类号: H04L1/22 G06F11/34

    CPC分类号: H04L1/22

    摘要: Method and system for processing fault log data from a machine comprising a plurality of respective pieces of equipment are provided. Operational parameter data indicative of operational and/or environmental conditions for the respective pieces of equipment is further processed. The method allows collecting fault log data comprising a plurality of faults from any malfunctioning piece of equipment. The method further allows collecting operational parameter data relatable to each respective time of occurrence of the plurality of faults from the malfunctioning equipment. Respective identifying actions allow identifying a plurality of distinct faults in the fault log data and a plurality of data buckets indicative of respective levels of quantization of each operational parameter. At least one distinct fault cluster is generated from the plurality of distinct faults. Each generated fault cluster is related a respective quantization level of at least one operational parameter to provide at least one fault cluster that may be configurable in at least one of the following cluster configurations: a stand-alone fault cluster configuration and a cluster configuration enhanced with quantized operational parameter data. A plurality of weighted repair and distinct fault cluster combinations enhanceable with quantized operational parameter data is generated. At least one repair for the at least one fault cluster enhanceable with quantized operational parameter data is generated using the plurality of weighted repair and distinct fault cluster combinations enhanceable with quantized operational parameter data.

    摘要翻译: 提供了用于处理来自包括多个相应设备的机器的故障日志数据的方法和系统。 进一步处理指示各个设备的操作和/或环境条件的操作参数数据。 该方法允许从任何故障的设备中收集包括多个故障的故障日志数据。 该方法还允许从故障设备收集与各个故障发生的每个相应时间相关的操作参数数据。 相应的识别动作允许识别故障日志数据中的多个不同的故障,以及指示每个操作参数的相应的量化水平的多个数据桶。 从多个不同的故障产生至少一个不同的故障簇。 每个产生的故障集群与至少一个操作参数的相应量化级相关联,以提供至少一个可以在以下集群配置中的至少一个中配置的故障集群:独立的故障集群配置和增强的集群配置 量化操作参数数据。 生成可以通过量化的操作参数数据增强的多个加权修复和不同的故障簇组合。 通过使用量化的操作参数数据可增强的多个加权修复和不同的故障簇组合来生成可利用量化操作参数数据增强的至少一个故障簇的至少一个修复。

    Process and system for analyzing fault log data from a machine so as to identify faults predictive of machine failures
    2.
    发明授权
    Process and system for analyzing fault log data from a machine so as to identify faults predictive of machine failures 有权
    用于分析来自机器的故障日志数据的过程和系统,以识别机器故障预测的故障

    公开(公告)号:US06622264B1

    公开(公告)日:2003-09-16

    申请号:US09447064

    申请日:1999-11-22

    IPC分类号: G06F1100

    CPC分类号: G06F11/2257

    摘要: A process for analyzing fault log data from a machine is provided. The process allows for downloading new fault log data from the machine. The process further allows for retrieving prior fault log data of the machine. The prior fault log data may be obtained during an earlier download relative to a present download of new fault log data. A comparing step allows for comparing the new fault log data against the prior fault log data, and an adjusting step allows for adjusting any repair recommendations for the earlier download of fault log data based upon the comparison of the new fault log data and the prior fault log data.

    摘要翻译: 提供了从机器分析故障日志数据的过程。 该过程允许从机器下载新的故障日志数据。 该过程进一步允许检索机器的先前故障日志数据。 先前的故障日志数据可以在相对于新的故障日志数据的当前下载的早期下载中获得。 比较步骤允许将新的故障日志数据与先前的故障日志数据进行比较,并且调整步骤允许基于新故障日志数据与先前故障的比较来调整故障日志数据的早期下载的任何修复建议 日志数据。