公开(公告)号：US20110144853A1

公开(公告)日：2011-06-16

申请号：US12638592

申请日：2009-12-15

Applicant: Halasya Siva Subramania ,  Satnam Singh ,  Steven W. Holland ,  Jason T. Davis ,  Tim Felke ,  Ravindra Patankar ,  Aru Narla

Inventor： Halasya Siva Subramania ,  Satnam Singh ,  Steven W. Holland ,  Jason T. Davis ,  Tim Felke ,  Ravindra Patankar ,  Aru Narla

IPC: G06F7/00 ,  G01M17/00 ,  G06F17/30

CPC classification number: G06F11/0751 ,  G06F11/0739

Abstract: A system and method for reducing or eliminating built-in tests and diagnostic trouble codes that are set as a result of improper parameter values. The method includes collecting field failure data that identifies diagnostic trouble codes and parameters of the system that are used to set diagnostic trouble codes. The method transforms the collected data into a format more appropriate for human analysis and pre-processes the transferred data to identify and remove information that could bias the human analysis. The method includes plotting linear and nonlinear combinations of operation parameters, performing data mining and analysis for detecting inappropriate settings of fault codes in the pre-processed data and providing the mined data to a subject matter expert for review to determine whether a diagnostic trouble code has been issued because of improper parameters.

Abstract translation: 用于减少或消除由于不正确的参数值而设置的内置测试和诊断故障代码的系统和方法。 该方法包括收集现场故障数据，识别用于设置诊断故障代码的系统的诊断故障代码和参数。 该方法将收集的数据转换为更适合人类分析的格式，并预处理传输的数据，以识别和删除可能偏向人类分析的信息。 该方法包括绘制操作参数的线性和非线性组合，执行数据挖掘和分析，以检测预处理数据中的故障代码的不适当设置，并将开采的数据提供给主题专家以进行审查，以确定诊断故障代码是否具有 由于参数不当而被发布。