Patents by Inventor ILIA SERGEEVICH SMYSHLIAEV

ILIA SERGEEVICH SMYSHLIAEV 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).

  • System and method for detecting anomalies in sensory data of industrial machines located within a predetermined proximity
    Patent number: 11933695
    Abstract: A system and computer-implemented method for detecting anomalies in industrial machine sensor data, including: computing, based on a received suspected anomalous level value of a sensory input data of each of the a plurality of sensory input data of a plurality of industrial machines that are located within a predetermined proximity, an average anomalous amount that is associated with at least a time interval; and determining that at least one of the plurality of suspected anomalies is an anomaly when a result of a subtraction of the computed average anomalous amount from each suspected anomalous level value of the plurality of sensory input data exceeds a predetermined threshold.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: March 19, 2024
    Assignee: AKTIEBOLAGET SKF
    Inventors: David Lavid Ben Lulu, Nir Dromi, Aleksandr Tolstov, Ilia Sergeevich Smyshliaev
  • SYSTEM AND METHOD FOR DETECTING ANOMALIES IN SENSORY DATA OF INDUSTRIAL MACHINES LOCATED WITHIN A PREDETERMINED PROXIMITY
    Publication number: 20200209111
    Abstract: A system and computer-implemented method for detecting anomalies in industrial machine sensor data, including: computing, based on a received suspected anomalous level value of a sensory input data of each of the a plurality of sensory input data of a plurality of industrial machines that are located within a predetermined proximity, an average anomalous amount that is associated with at least a time interval; and determining that at least one of the plurality of suspected anomalies is an anomaly when a result of a subtraction of the computed average anomalous amount from each suspected anomalous level value of the plurality of sensory input data exceeds a predetermined threshold.
    Type: Application
    Filed: December 17, 2019
    Publication date: July 2, 2020
    Applicant: Presenso, Ltd.
    Inventors: David LAVID BEN LULU, Nir DROMI, Aleksandr TOLSTOV, ILIA SERGEEVICH SMYSHLIAEV