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Root cause diagnostics using temporal data mining

  • US 7,509,234 B2
  • Filed: 08/16/2007
  • Issued: 03/24/2009
  • Est. Priority Date: 08/16/2007
  • Status: Active Grant
First Claim
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1. A method for fault data correlation in a diagnostic system, comprising:

  • receiving the fault data including a plurality of faults collected over a period of time;

    identifying a plurality of episodes within the fault data, wherein each episode includes a sequence of the faults;

    calculating a frequency of the episodes within the fault data;

    categorizing each of the episodes as an episode type, wherein the episode type is one of a well-known episode, an expected episode, and an unexpected episode;

    calculating a correlation confidence of the faults relative to the episodes as a function of the frequency of the episodes;

    outputting a report of the faults with the correlation confidence; and

    filtering the report as a function of the episode type.

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