Patents by Inventor Sheetal PAWAR

Sheetal PAWAR 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).

  • Mitigating asset damage via asset data analysis and processing
    Patent number: 10996160
    Abstract: An AI-based asset maintenance system accesses a variety of data sources related to an entity to analyze data regarding one or more damage mechanisms corresponding to the entity thereby identifying and implementing corrective actions that mitigate the effects of the damage mechanisms within the entity. The accessed data is stored using a parameterized data model that represents the entity. A trained parameter model identifies the most significant operating parameters for a given component of the entity for the damage mechanism affecting the component. A projection model is used to perform ‘what-if’ analysis of the most significant operating parameters for determining the instances of minimum and maximum degradation due to the damage mechanism. Corrective actions for mitigating the degradation due to the damage mechanism can be determined based on analysis of the operating parameters and other attributes corresponding to the best and worst case degradation scenarios.
    Type: Grant
    Filed: July 5, 2018
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Harsha Vardhan Chalumuri, Rabinarayan Mishra, Ramaa Gopal Varma Vegesna, Santhosh Kumar Shivaram, Sheetal Pawar
  • MITIGATING ASSET DAMAGE VIA ASSET DATA ANALYSIS AND PROCESSING
    Publication number: 20200011784
    Abstract: An AI-based asset maintenance system accesses a variety of data sources related to an entity to analyze data regarding one or more damage mechanisms corresponding to the entity thereby identifying and implementing corrective actions that mitigate the effects of the damage mechanisms within the entity. The accessed data is stored using a parameterized data model that represents the entity. A trained parameter model identifies the most significant operating parameters for a given component of the entity for the damage mechanism affecting the component. A projection model is used to perform ‘what-if’ analysis of the most significant operating parameters for determining the instances of minimum and maximum degradation due to the damage mechanism. Corrective actions for mitigating the degradation due to the damage mechanism can be determined based on analysis of the operating parameters and other attributes corresponding to the best and worst case degradation scenarios.
    Type: Application
    Filed: July 5, 2018
    Publication date: January 9, 2020
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Harsha Vardhan CHALUMURI, Rabinarayan MISHRA, Ramaa Gopal Varma VEGESNA, Santhosh Kumar SHIVARAM, Sheetal PAWAR