Patents by Inventor ANDREW KUSIAK

ANDREW KUSIAK has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Data-driven approach to modeling sensors wherein optimal time delays are determined for a first set of predictors and stored as a second set of predictors
    Patent number: 8577822
    Abstract: A method, computer program product and system are provided for modeling non-controllable parameters affecting system performance. The method may include receiving historical values for each of a plurality of system parameters and grouping the system parameters into controllable, non-controllable, and performance parameters. The method may further include determining a first set of predictors from the non-controllable parameters using the historical values of these non-controllable parameters and, for each predictor in the first set, determining optimal time instances at which a value of each predictor is measured using non-uniform time scales. These optimal time instances may then be saved as a second set of predictors. One or more constraints may then be established for each of the controllable parameters. Finally, a dynamic model based on the second set of predictors, the controllable parameters, and the performance parameters may be constructed and optimized.
    Type: Grant
    Filed: September 25, 2009
    Date of Patent: November 5, 2013
    Assignee: University of Iowa Research Foundation
    Inventors: Andrew Kusiak, Zhe Song
  • DATA-DRIVEN APPROACH TO MODELING SENSORS
    Publication number: 20100152905
    Abstract: A method, computer program product and system are provided for modeling non-controllable parameters affecting system performance. The method may include receiving historical values for each of a plurality of system parameters and grouping the system parameters into controllable, non-controllable, and performance parameters. The method may further include determining a first set of predictors from the non-controllable parameters using the historical values of these non-controllable parameters and, for each predictor in the first set, determining optimal time instances at which a value of each predictor is measured using non-uniform time scales. These optimal time instances may then be saved as a second set of predictors. One or more constraints may then be established for each of the controllable parameters. Finally, a dynamic model based on the second set of predictors, the controllable parameters, and the performance parameters may be constructed and optimized.
    Type: Application
    Filed: September 25, 2009
    Publication date: June 17, 2010
    Inventor: ANDREW KUSIAK