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Principal component analysis based fault classification

  • US 7,096,153 B2
  • Filed: 04/16/2004
  • Issued: 08/22/2006
  • Est. Priority Date: 12/31/2003
  • Status: Active Grant
First Claim
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1. A system for identifying events in a process, the system comprising:

  • a controller coupled to sensors monitoring a process;

    a principal component analysis model receiving data from the sensors monitoring the process and reducing a number of variables associated with the data from the sensors, the model further comprising;

    a training module that is run on historical data to create a pool of vectors with values for the variables, wherein the training module further creates clusters of bad actors from the values based on statistics and associates the clusters with known events; and

    a run time module that receives incoming data from the sensors, calculates statistics, determines if events are occurring, and identifies clusters to identify events.

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