Patents by Inventor Neha TOMAR

Neha TOMAR 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).

  • Sensor network for optimized maintenance schedule
    Patent number: 11651627
    Abstract: Embodiments determine an optimized maintenance schedule for a maintenance program that includes multiple levels, each level including at least one asset (i.e., asset type) and at least one of the levels including a plurality of assets. Embodiments receive historical failure data for each of the assets, the historical failure data generated at least in part by a sensor network. For each asset, embodiments generate a probability density function (“PDF”) using kernel density estimation (“KDE”). For each asset, based on a reliability rate threshold, embodiments determine a cumulative density function (“CDF”) using the PDF. For each asset, embodiments determine an optimized time to failure (“TTF”) using the CDF. Embodiments then create the schedule for each level that includes a minimum TTF for the assets at each level.
    Type: Grant
    Filed: November 28, 2019
    Date of Patent: May 16, 2023
    Assignee: Oracle International Corporation
    Inventors: Amit Vaid, Neha Tomar, Utkarsh Milind Desai, Vijayalakshmi Krishnamurthy, Goldee Udani
  • SENSOR NETWORK FOR OPTIMIZED MAINTENANCE SCHEDULE
    Publication number: 20210166499
    Abstract: Embodiments determine an optimized maintenance schedule for a maintenance program that includes multiple levels, each level including at least one asset (i.e., asset type) and at least one of the levels including a plurality of assets. Embodiments receive historical failure data for each of the assets, the historical failure data generated at least in part by a sensor network. For each asset, embodiments generate a probability density function (“PDF”) using kernel density estimation (“KDE”). For each asset, based on a reliability rate threshold, embodiments determine a cumulative density function (“CDF”) using the PDF. For each asset, embodiments determine an optimized time to failure (“TTF”) using the CDF. Embodiments then create the schedule for each level that includes a minimum TTF for the assets at each level.
    Type: Application
    Filed: November 28, 2019
    Publication date: June 3, 2021
    Inventors: Amit VAID, Neha TOMAR, Utkarsh Milind DESAI, Vijayalakshmi KRISHNAMURTHY, Goldee UDANI