Patents by Inventor Pradyumna Singh

Pradyumna Singh 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: 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
  • 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
  • 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
  • Publication number: 20160187279
    Abstract: Sensor devices and systems for detecting an analyte are disclosed and described. In one embodiment, a transducer array operable to detect a plurality of analytes is provided. Such an array may include a support substrate and a plurality of Metal Oxide Semiconductor (MOS) sensors coupled to the substrate. Each MOS sensor can further include a MOS active material, a plurality of heating elements thermally coupled to the MOS active materials in a position and orientation that facilitates heating of the MOS active materials, and an electrode functionally coupled to the MOS active material and operable to detect a response signal generated by the MOS active material.
    Type: Application
    Filed: December 24, 2014
    Publication date: June 30, 2016
    Inventors: Noureddine Tayebi, Pradyumna Singh