Patents by Inventor Richa Choudhary

Richa Choudhary 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).

  • Machine learning based equipment failure prediction
    Patent number: 12242260
    Abstract: A method comprises receiving a time series of data values for a time window of each operational parameter of a number of operational parameters of equipment; calculating a time derivative feature that comprises a change of the data values of a first operational parameter of the number of operational parameters over the time window; and classifying, using a machine learning model and based on the time derivative feature, an operational mode of the equipment into different failure categories.
    Type: Grant
    Filed: October 1, 2021
    Date of Patent: March 4, 2025
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Gurunath Venkatarama Subrahmanya Gandikota, Shashwat Verma, Geetha Gopakumar Nair, Pradyumna Singh Rathore, Janvi Nayan Acharya, Richa Choudhary
  • MACHINE LEARNING BASED ELECTRIC SUBMERSIBLE PUMP FAILURE PREDICTION BASED ON DATA CAPTURE AT MULTIPLE WINDOW LENGTHS TO DETECT SLOW AND FAST CHANGING BEHAVIOR
    Publication number: 20230104543
    Abstract: A method comprises sampling, at a first sampling rate for a first time window, data values of at least one operational parameter of equipment. The method comprises sampling, at a second sampling rate for a second time window, the data values of the at least one operational parameter, wherein the second sampling rate is different from the first sampling rate. The method comprises classifying, using a machine learning model and the data values in the first time window and the second time window, an operational mode of the equipment into different failure categories.
    Type: Application
    Filed: October 1, 2021
    Publication date: April 6, 2023
    Inventors: Gurunath Venkatarama Subrahmanya Gandikota, Shashwat Verma, Geetha Gopakumar Nair, Pradyumna Singh Rathore, Janvi Nayan Acharya, Richa Choudhary
  • MACHINE LEARNING BASED ELECTRIC SUBMERSIBLE PUMP FAILURE PREDICTION USING ENCODED TIME DERIVATIVE AND GRADIENT FEATURES
    Publication number: 20230107580
    Abstract: A method comprises receiving a time series of data values for a time window of each operational parameter of a number of operational parameters of equipment; calculating a time derivative feature that comprises a change of the data values of a first operational parameter of the number of operational parameters over the time window; and classifying, using a machine learning model and based on the time derivative feature, an operational mode of the equipment into different failure categories.
    Type: Application
    Filed: October 1, 2021
    Publication date: April 6, 2023
    Inventors: Gurunath Venkatarama Subrahmanya Gandikota, Shashwat Verma, Geetha Gopakumar Nair, Pradyumna Singh Rathore, Janvi Nayan Acharya, Richa Choudhary