Patents by Inventor KAY L. DARDEN

KAY L. DARDEN 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).

  • Patent number: 9317596
    Abstract: A method of automatically developing an ontology for product function and failure mode documentation for an apparatus. The apparatus is identified. A function-flow model is generated for the identified apparatus for identifying a composite structure of the apparatus. Functions and failure modes associated with the identified apparatus are enumerated. Failure data is obtained from a plurality of heterogeneous data sources. A semantic similarity module is applied to the enumerated failures by comparing a plurality of documents between the data sources. The semantic similarity module bridges a variety of terms used in the heterogeneous data to describe a respective failure. Failures associated with the enumerated apparatus functions are extracted from the plurality of documents between heterogeneous data sources. A composite of related terminology is generated for each identified failure mode.
    Type: Grant
    Filed: November 24, 2014
    Date of Patent: April 19, 2016
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Joseph A. Donndelinger, John A. Cafeo, Soumen De, Dnyanesh Rajpathak, Prakash M. Peranandam, Kay L. Darden
  • Publication number: 20150286712
    Abstract: A method of automatically developing an ontology for product function and failure mode documentation for an apparatus. The apparatus is identified. A function-flow model is generated for the identified apparatus for identifying a composite structure of the apparatus. Functions and failure modes associated with the identified apparatus are enumerated. Failure data is obtained from a plurality of heterogeneous data sources. A semantic similarity module is applied to the enumerated failures by comparing a plurality of documents between the data sources. The semantic similarity module bridges a variety of terms used in the heterogeneous data to describe a respective failure. Failures associated with the enumerated apparatus functions are extracted from the plurality of documents between heterogeneous data sources. A composite of related terminology is generated for each identified failure mode.
    Type: Application
    Filed: November 24, 2014
    Publication date: October 8, 2015
    Inventors: JOSEPH A. DONNDELINGER, JOHN A. CAFEO, SOUMEN DE, DNYANESH RAJPATHAK, PRAKASH M. PERANANDAM, KAY L. DARDEN