Patents by Inventor Ha-nock KWAK

Ha-nock KWAK 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).

  • Equipment diagnosis system and method based on deep learning
    Patent number: 11269321
    Abstract: An equipment diagnosis system and method, which use abnormal data and normal data of equipment and accurately and effectively perform diagnosis on the equipment, are provided. The equipment diagnosis system includes a data acquisition unit to acquire time series data of equipment, a preprocessing unit convert the time series data into frequency data including a temporal component through a Fourier transform, a deep learning unit to perform deep learning through a convolution neural network (CNN) by using the frequency data, and a diagnosis unit to determine a state of the equipment to be a normal state or a breakdown state based on the deep learning.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: March 8, 2022
    Assignees: Samsung Electronics Co., Ltd., Seoul National University R & DB Foundation
    Inventors: Kyoung-whan Oh, Ho-youl Lee, Won-ki Park, Jong-hwi Seo, Young-il Jang, Ha-nock Kwak, Byoung-tak Zhang, Seong-ho Choi
  • EQUIPMENT DIAGNOSIS SYSTEM AND METHOD BASED ON DEEP LEARNING
    Publication number: 20190302750
    Abstract: An equipment diagnosis system and method, which use abnormal data and normal data of equipment and accurately and effectively perform diagnosis on the equipment, are provided. The equipment diagnosis system includes a data acquisition unit to acquire time series data of equipment, a preprocessing unit convert the time series data into frequency data including a temporal component through a Fourier transform, a deep learning unit to perform deep learning through a convolution neural network (CNN) by using the frequency data, and a diagnosis unit to determine a state of the equipment to be a normal state or a breakdown state based on the deep learning.
    Type: Application
    Filed: March 4, 2019
    Publication date: October 3, 2019
    Applicant: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
    Inventors: Kyoung-whan OH, Ho-youl LEE, Won-ki PARK, Jong-hwi SEO, Young-il JANG, Ha-nock KWAK, Byoung-tak ZHANG, Seong-ho CHOI