Patents by Inventor Bethany K. Hoogs

Bethany K. Hoogs 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).

  • Method and system for predicting turbomachinery failure events employing genetic algorithm
    Patent number: 7627454
    Abstract: A method for predicting or detecting an event in turbomachinery includes the steps of obtaining operational data from at least one machine and at least one peer machine. The operational data comprises a plurality of performance metrics. A genetic algorithm (GA) analyzes the operational data, and generates a plurality of clauses, which are used to characterize the operational data. The clauses are evaluated as being either “true” or “false”. A fitness function identifies a fitness value for each of the clauses. A perturbation is applied to selected clauses to create additional clauses, which are then added to the clauses group. The steps of applying a fitness function, selecting a plurality of clauses, and applying a perturbation can be repeated until a predetermined fitness value is reached. The selected clauses are then applied to the operational data from the machine to detect or predict a past, present or future event.
    Type: Grant
    Filed: October 16, 2007
    Date of Patent: December 1, 2009
    Assignee: General Electric Company
    Inventors: Christina A. LaComb, John A. Interrante, Thomas R. Kiehl, Deniz Senturk-Doganaksoy, Bethany K. Hoogs
  • METHOD AND SYSTEM FOR PREDICTING TURBOMACHINERY FAILURE EVENTS EMPLOYING GENETIC ALGORITHM
    Publication number: 20090100293
    Abstract: A method for predicting or detecting an event in turbomachinery includes the steps of obtaining operational data from at least one machine and at least one peer machine. The operational data comprises a plurality of performance metrics. A genetic algorithm (GA) analyzes the operational data, and generates a plurality of clauses, which are used to characterize the operational data. The clauses are evaluated as being either “true” or “false”. A fitness function identifies a fitness value for each of the clauses. A perturbation is applied to selected clauses to create additional clauses, which are then added to the clauses group. The steps of applying a fitness function, selecting a plurality of clauses, and applying a perturbation can be repeated until a predetermined fitness value is reached. The selected clauses are then applied to the operational data from the machine to detect or predict a past, present or future event.
    Type: Application
    Filed: October 16, 2007
    Publication date: April 16, 2009
    Inventors: Christina A. LaComb, John A. Interrante, Thomas R. Kiehl, Deniz Senturk-Doganaksoy, Bethany K. Hoogs