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    • 3. 发明申请
    • AUTOMATIC DETERMINATION OF SUCCESS OF USING A COMPUTERIZED DECISION SUPPORT SYSTEM
    • 使用计算机决策支持系统的成功的自动确定
    • US20120030501A1
    • 2012-02-02
    • US12845589
    • 2010-07-28
    • Raj Mohan BharadwajRanjana GhoshDavid B. GoldsteinVidhyashankaran Ramamoorthy Iyer
    • Raj Mohan BharadwajRanjana GhoshDavid B. GoldsteinVidhyashankaran Ramamoorthy Iyer
    • G06F11/07
    • G06Q10/06
    • Methods and systems are provided for improving the repair efficacy of a repair action using inferred feedback. The method comprises downloading a repair procedure, which has a probability of success for correcting the fault code. Repair action data is input into to the computing device and is tracked and correlated with the downloaded procedure. The method then adjusts a probability of success of the repair procedure in clearing the fault code generated by the complex system based at least on the correlation. The system comprises a means for receiving repair data, a means for tracking repair action data taken, a means for correlating the tracked repair action and the repair data, and a means for updating a probability of success of the repair action based at least in part on the correlation of the repair data, the repair action data and the operating status of the complex system.
    • 提供了使用推断的反馈来改善修复动作的修复功效的方法和系统。 该方法包括下载修复过程,其具有用于校正故障代码的成功概率。 修复动作数据被输入到计算设备中,并被跟踪并与下载的过程相关联。 然后,该方法至少基于相关性来调整修复过程成功清除由复杂系统产生的故障代码的概率。 该系统包括用于接收修复数据的装置,用于跟踪所采取的修复动作数据的装置,用于使跟踪的修复动作和修复数据相关的装置,以及用于至少部分地更新维修动作成功概率的装置 关于修复数据,修复动作数据和复杂系统的操作状态的相关性。
    • 7. 发明授权
    • Methods systems and apparatus for determining whether built-in-test fault codes are indicative of an actual fault condition or a false alarm
    • 用于确定内置测试故障代码是否指示实际故障状况或虚假警报的方法系统和装置
    • US08621305B2
    • 2013-12-31
    • US12832827
    • 2010-07-08
    • Joel BockPhil ScanduraRaj Mohan Bharadwaj
    • Joel BockPhil ScanduraRaj Mohan Bharadwaj
    • G01R31/28
    • G06F11/263G06F11/2215
    • Methods and apparatus are provided for determining whether a built-in-test fault code (BITFC) data sequence generated by a built-in-test (BIT) of a particular module of a complex system is indicative of an actual fault condition. A regression function is generated for the particular module based on stored BITFC data sequences generated by the BIT and stored repair data for that module from a fault history database. Later, during operation of the particular module, the BIT generates a new BITFC data sequence. A processor can then load the new BITFC data sequence and execute the regression function with respect to the new BITFC data sequence to determine whether the new BITFC data sequence is indicative of an actual fault condition at the particular module or is indicative of a false fault condition at the particular module.
    • 提供了用于确定由复杂系统的特定模块的内置测试(BIT)产生的内置测试故障码(BITFC)数据序列是否指示实际故障状况的方法和装置。 基于由BIT生成的存储的BITFC数据序列并针对该模块从故障历史数据库存储的修复数据,为特定模块生成回归函数。 之后,在特定模块的操作期间,BIT生成新的BITFC数据序列。 然后,处理器可以加载新的BITFC数据序列并且相对于新的BITFC数据序列执行回归函数,以确定新的BITFC数据序列是否指示特定模块处的实际故障状态或指示假故障条件 在特定的模块。