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System and method for generating service bulletins based on machine performance data

  • US 20060036344A1
  • Filed: 08/11/2004
  • Published: 02/16/2006
  • Est. Priority Date: 08/11/2004
  • Status: Abandoned Application
First Claim
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1. A method implemented on a computer system for collecting operational state and usage data from a plurality of networked machines and assessing the diagnostics/prognostic states of the networked machines and their components for adjusting machine maintenance schedules for at least one machine within the plurality of networked machines within a computer controlled production system, wherein the networked machines are in communication with a service center and with a processor within the computer system, each of the machines within the population of machines having a manufacturer'"'"'s suggested service schedule, the method comprising:

  • applying domain knowledge to develop at least one hypothesis defining a correlation between usage/environment of at least one machine of the population of machines and the operational health of said at least one machine;

    gathering usage data from the population of machines;

    deleting unrelated usage data at a preprocessing stage;

    identifying suitable data mining tasks and techniques for analysis of said usage data;

    applying data mining tools to discover knowledge pertaining to said hypothesis;

    interpreting said discovered knowledge;

    determining whether to refine said hypothesis;

    repeating applying domain knowledge to develop a revised hypothesis, gathering usage data, deleting unrelated usage data, identifying suitable data mining tasks, applying data mining tools to discover knowledge pertaining to said revised hypothesis, and interpreting said discovered knowledge, and determining whether to refine said hypothesis until a determination is made not to continuing to refine said hypothesis;

    adjusting the manufacturer'"'"'s service schedule based on data mining results; and

    providing feedback to the machine population.

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