Patents by Inventor Pawel Stano

Pawel Stano 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: 12001180
    Abstract: To perform a prognostic health analysis for an asset (11-13), a stochastic simulation is performed to obtain a prognosis for the evolution of the asset health state. The prognosis is updated based on sensor measurements using a particle filter.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: June 4, 2024
    Assignee: HITACHI ENERGY LTD
    Inventors: Pawel Stano, Frank Kirschnick
  • Publication number: 20240012407
    Abstract: To perform a prognostic health analysis for an asset, a plurality of independent stochastic simulations are performed using transition probabilities of a discrete Markov Chain model. A prognostic asset health state evolution is computed over a time horizon from the plurality of independent stochastic simulations. An output is generated based on the computed prognostic asset health state evolution.
    Type: Application
    Filed: September 19, 2023
    Publication date: January 11, 2024
    Inventors: Pawel Stano, Frank Kirschnick
  • Patent number: 11796992
    Abstract: To perform a prognostic health analysis for an asset, a plurality of independent stochastic simulations are performed using transition probabilities of a discrete Markov Chain model. A prognostic asset health state evolution is computed over a time horizon from the plurality of independent stochastic simulations. An output is generated based on the computed prognostic asset health state evolution.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: October 24, 2023
    Assignee: Hitachi Energy Switzerland AG
    Inventors: Pawel Stano, Frank Kirschnick
  • Publication number: 20230221694
    Abstract: To perform a prognostic health analysis for an asset (11-13), a stochastic simulation is performed. Transition probabilities for transitions between states of a discrete state model (41-44) used in the stochastic simulation are updated as information on asset degradation becomes available.
    Type: Application
    Filed: June 7, 2021
    Publication date: July 13, 2023
    Inventors: Pawel STANO, Frank KIRSCHNICK
  • Publication number: 20210382447
    Abstract: To perform a prognostic health analysis for an asset (11-13), a stochastic simulation is performed to obtain a prognosis for the evolution of the asset health state. The prognosis is updated based on sensor measurements using a particle filter.
    Type: Application
    Filed: June 8, 2021
    Publication date: December 9, 2021
    Inventors: Pawel Stano, Frank Kirschnick
  • Publication number: 20210382473
    Abstract: To perform a prognostic health analysis for an asset, a plurality of independent stochastic simulations are performed using transition probabilities of a discrete Markov Chain model. A prognostic asset health state evolution is computed over a time horizon from the plurality of independent stochastic simulations. An output is generated based on the computed prognostic asset health state evolution.
    Type: Application
    Filed: June 8, 2021
    Publication date: December 9, 2021
    Inventors: Pawel Stano, Frank Kirschnick