Patents by Inventor Prarthana Rohitkumar Shah

Prarthana Rohitkumar Shah 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: 12282308
    Abstract: A novel system includes an intelligent process anomaly detection and trend projection system which is configured to train artificial intelligence and machine learning systems for anomaly prediction in industrial systems according to some embodiments. In some embodiments, such intelligent process anomaly detection and trend projection system is configured to determine an estimated remaining useful life of an industrial asset. For example, in some embodiments, the system is configured to identify a degradation part of the signal and a normal part of the signal; separate the degradation part of the signal from the normal part of the signal; identify one or more patterns of a degradation part of the signal and the normal part of the signal; and determine an anomaly prediction based on the one or more patterns.
    Type: Grant
    Filed: September 15, 2020
    Date of Patent: April 22, 2025
    Assignee: Aveva Software, LLC
    Inventors: Aldimir Lyubchev Mihnev, Prarthana Rohitkumar Shah, Brian Kenneth Erickson, William Charles Winn Bielke
  • Publication number: 20210080928
    Abstract: A novel system includes an intelligent process anomaly detection and trend projection system which is configured to train artificial intelligence and machine learning systems for anomaly prediction in industrial systems according to some embodiments. In some embodiments, such intelligent process anomaly detection and trend projection system is configured to determine an estimated remaining useful life of an industrial asset. For example, in some embodiments, the system is configured to identify a degradation part of the signal and a normal part of the signal; separate the degradation part of the signal from the normal part of the signal; identify one or more patterns of a degradation part of the signal and the normal part of the signal; and determine an anomaly prediction based on the one or more patterns.
    Type: Application
    Filed: September 15, 2020
    Publication date: March 18, 2021
    Inventors: Aldimir Lyubchev Mihnev, Prarthana Rohitkumar Shah, Brian Kenneth Erickson, William Charles Winn Bielke