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Automatic fault classification for model-based process monitoring

  • US 7,533,070 B2
  • Filed: 05/30/2006
  • Issued: 05/12/2009
  • Est. Priority Date: 05/30/2006
  • Status: Active Grant
First Claim
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1. A computer implemented method, comprising:

  • applying a statistical model to a set of data in order to identify data points within set of data that are indicative of abnormal behavior; and

    thereafter automatically clustering said data points utilizing a three-phase clustering algorithm that produces an event classifier for classifying at least one fault among said data points, thereby providing for the automatic construction of a library of faults for use in an early detection system.

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