Patents by Inventor Gregory David Adams

Gregory David Adams 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 of predicting failure events for reciprocating compressors
    Patent number: 11796982
    Abstract: A system and process for predicting the failure of a machine begins with the step of loading a slope signature library into the control system, in which the slope signature library correlates time-to-failure based on rates of change of one or more measured conditions. The process includes the steps of activating the machine, determining baseline measurements, and detecting an out-of-spec measurement. Once an out-of-spec measurement is made, the process includes the determination of the rate of change for the out-of-spec measurement. A slope signature is calculated based on the rate of change for the measured condition, which is compared against the slope signature library to determine a predicted time-to-failure based on the calculated slope signature, and outputting the predicted time-to-failure. The process can be used to modify the operation of the machine to extend the predicted time-to-failure.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: October 24, 2023
    Assignee: GE Oil & Gas, LLC
    Inventors: Vinh Do, Sheldon McCrackin, Gregory David Adams, Sam Stroder
  • INTERACTIVE ASSISTANCE FOR EXECUTING NATURAL LANGUAGE QUERIES TO DATA SETS
    Publication number: 20230325384
    Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.
    Type: Application
    Filed: March 10, 2023
    Publication date: October 12, 2023
    Applicant: Amazon Technologies, Inc.
    Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li
  • Interactive assistance for executing natural language queries to data sets
    Patent number: 11604794
    Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: March 14, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li
  • Method of Predicting Failure Events for Reciprocating Compressors
    Publication number: 20210072733
    Abstract: A system and process for predicting the failure of a machine begins with the step of loading a slope signature library into the control system, in which the slope signature library correlates time-to-failure based on rates of change of one or more measured conditions. The process includes the steps of activating the machine, determining baseline measurements, and detecting an out-of-spec measurement. Once an out-of-spec measurement is made, the process includes the determination of the rate of change for the out-of-spec measurement. A slope signature is calculated based on the rate of change for the measured condition, which is compared against the slope signature library to determine a predicted time-to-failure based on the calculated slope signature, and outputting the predicted time-to-failure. The process can be used to modify the operation of the machine to extend the predicted time-to-failure.
    Type: Application
    Filed: September 8, 2020
    Publication date: March 11, 2021
    Applicant: GE Oil & Gas, LLC
    Inventors: Vinh Do, Sheldon McCrackin, Gregory David Adams, Sam Stroder