Patents by Inventor Kyosuke N. Miyagi

Kyosuke N. Miyagi 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).

  • Methods and systems for predicting failure of a power control unit of a vehicle
    Patent number: 11704590
    Abstract: A method for predicting a failure of a power control unit of a vehicle is provided. The method includes obtaining data from a plurality of sensors of the power control unit of a vehicle subject to simulated multi-load conditions, implementing a machine learning algorithm on the data to obtain machine learning data, obtaining new data from the plurality of sensors of power control unit of the vehicle subject to real multi-load conditions, implementing the machine learning algorithm on the new data to obtain test data, predicting a failure of the power control unit based on a comparison between the test data and the machine learning data.
    Type: Grant
    Filed: March 24, 2017
    Date of Patent: July 18, 2023
    Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Shailesh Joshi, Hiroshi Ukegawa, Ercan M. Dede, Kyosuke N. Miyagi
  • Methods and Systems for Predicting Failure of a Power Control Unit of a Vehicle
    Publication number: 20180276546
    Abstract: A method for predicting a failure of a power control unit of a vehicle is provided. The method includes obtaining data from a plurality of sensors of the power control unit of a vehicle subject to simulated multi-load conditions, implementing a machine learning algorithm on the data to obtain machine learning data, obtaining new data from the plurality of sensors of power control unit of the vehicle subject to real multi-load conditions, implementing the machine learning algorithm on the new data to obtain test data, predicting a failure of the power control unit based on a comparison between the test data and the machine learning data.
    Type: Application
    Filed: March 24, 2017
    Publication date: September 27, 2018
    Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Shailesh Joshi, Hiroshi Ukegawa, Ercan M. Dede, Kyosuke N. Miyagi