公开(公告)号：US20240220570A1

公开(公告)日：2024-07-04

申请号：US18535013

申请日：2023-12-11

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Min Seo CHOI ,  Dong Yeon YOO

IPC: G06F17/14 ,  G06F18/2131

CPC classification number: G06F17/142 ,  G06F18/2131 ,  G06F2218/08 ,  G06F2218/12

Abstract: A fault signal detection method includes acquiring decomposition signals according to a frequency band, by decomposing an original signal in the time domain into a certain number of frequency band signals, combining the certain number of decomposition signals and calculating a classification result value for classifying the original signal into a normal signal or a fault signal using a classification model using at least one decomposition signal included in a combination method as input and determining a combination method for detecting a fault signal based on classification result values of the classification model.

公开(公告)号：US20200175340A1

公开(公告)日：2020-06-04

申请号：US16655443

申请日：2019-10-17

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Ye Seul PARK ,  Dong Yeon YOO ,  Chang Nam LIM

IPC: G06K9/62 ,  G06N20/00 ,  G16H30/40

Abstract: The present disclosure relates to a method for evaluating quality of a medical image dataset and a system thereof capable of confirming whether medical image data is suitable to be used for machine learning. Evaluation items may include data normality which means a ratio of normal frames in all frames; learning fitness which means a ratio of labeled or labelable frames in the received data; and anatomical completeness which means a ratio of anatomical elements included in the received data against anatomical elements based on medical standards.

公开(公告)号：US20230126283A1

公开(公告)日：2023-04-27

申请号：US17972538

申请日：2022-10-24

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Ye Seul PARK ,  Dong Yeon YOO ,  Ji Hoon BAEK

IPC: G06F11/07

Abstract: The present invention relates to a method and apparatus for fault diagnosis of a programmable robot, and includes the steps of collecting sensing data corresponding to an operation of a programmable robot, identifying a program and motion related to the sensing data, generating an execution pattern based on the sensing data, extracting a standard pattern corresponding to the identified program and motion, and diagnosing a fault of the programmable robot by comparing the standard pattern with the execution pattern, and the present invention may be applicable as another embodiment.

公开(公告)号：US20230131202A1

公开(公告)日：2023-04-27

申请号：US17972550

申请日：2022-10-24

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Ye Seul PARK ,  Dong Yeon YOO ,  Jin Se KIM

IPC: B25J9/16 ,  B25J13/00

Abstract: The present invention relates to a method and system for health monitoring of a collaborative robot, includes the steps of calling a test program installed in a collaborative robot for health monitoring of the collaborative robot when the collaborative robot satisfies a call condition of the test program, performing a test by operating the collaborative robot based on the test program, and collecting and analyzing a result of the test by the collaborative robot, and may be applicable as another embodiment.

公开(公告)号：US20240066703A1

公开(公告)日：2024-02-29

申请号：US18261440

申请日：2021-12-21

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Ye Seul PARK ,  Dong Yeon YOO ,  Yang Gon KIM ,  Su Bin BAE

IPC: B25J9/16

CPC classification number: B25J9/1674 ,  B25J9/1682

Abstract: The present invention relates to a method and device for diagnosing a defect of a collaborative robot, the method comprising the steps in which: an electronic device generates a sensing data structure for managing sensing data collected from at least one collaborative robot; the electronic device generates an operation data structure for managing operation data associated with the operation of the collaborate robot; the electronic device generates a malfunction data structure for managing malfunction data of a point in which the severity of the operation equals to or is higher than a threshold; and the electronic device stores data collected from the at least one collaborative robot in accordance with the structures. Application to other embodiments is also possible.