Comparison of Machine Learning Algorithms Applied to Classification of Operating Condition of Rotating Machinery

Yoon-Jae Ju ,  Min-Seok Kim ,  Kwang-Sik Kim and others 1

Korean Journal of Computational Design and Engineering

2020 .03

Optimal Environment Construction Approach for Rotating Machine Fault Diagnosis

Yeong-won Song ,  Jeong-woo Pa ,  k and others 2

대한기계학회 춘추학술대회

2022 .11

Convolutional Neural Network based Fault Diagnosis Method for Rotating Machine

Namkyun Kim ,  Sol Choi ,  Wancheol Gim and others 3

한국자동차공학회 추계학술대회 및 전시회

2022 .11

Feature Extraction for Fault Diagnosis with Sensing Location Independence

Minseok Choi ,  Mikyung Hwang ,  Hyunseok Oh

대한기계학회 춘추학술대회

2022 .11

Identification of bearing fault progression stages using machine learning

Y. W. Lee ,  Y. N. Cha ,  B. S. Kwon and others 6

한국생산제조학회 학술발표대회 논문집

2024 .07

Basic Study of Product Defect Monitoring Using Machine Learning Algorithm

C. M. Jo ,  J. G. Kim ,  G. S. Cho and others 5

한국정밀공학회 학술발표대회 논문집

2020 .09

Development of Technical Information System Platform for Diagnosis of Rotating Machines

Sung-hoon Cho ,  Seung-jae Hwang ,  Byung-ju Lim and others 3

한국소음진동공학회 학술대회논문집

2016 .04

Data Augmentation and Deep Learning for the Fault Diagnosis of Rotating Machines

Asif Khan ,  Heung Soo Kim

대한기계학회 춘추학술대회

2021 .11

A study on the Design Method of Learning Data for Diagnosis Model with High Accuracy on Machine Tool

B. Pa ,  k ,  H. J. Choi

한국정밀공학회 학술발표대회 논문집

2022 .10

Research Trends Analysis of Machine Learning and Deep Learning: Focused on the Topic Modeling

Kim ,  Chang-Sik ,  Kim

디지털산업정보학회논문지

2019 .01

Detection of human using R-CNN for vision data

Chungkeun Lee ,  H. Jin Kim

한국항공우주학회 학술발표회 초록집

2016 .04

Fault Diagnosis Method based on Feature Residual Values for Industrial Rotor Machines

Kim ,  Donghwan ,  Kim and others 5

KEPCO Journal on electric power and energy

2018 .01

Life diagnosis for rotary machine with Support vector machine

C. W. Lee ,  B. H. Pa ,  k

한국생산제조학회 학술발표대회 논문집

2016 .11

Development of Feature-based Fault Diagnosis Program for Predictive Maintenance of Rotating Machines

Min-hwan Mo ,  Mi-kyung Hwang ,  Sang-hoon Choi and others 1

한국소음진동공학회 학술대회논문집

2016 .10

Interpretable machine learning for fault detection using manufacturing data

Josue Ob ,  egon ,  Donghyun Pa and others 3

대한산업공학회 추계학술대회 논문집

2019 .11

Defect Detection Algorithm Based on Convolution Neural Network

Bae-Keun Kwon ,  Dong-Joong Kang

대한기계학회 춘추학술대회

2015 .05

Development of a bearing fault diagnosis model using machine learning algorithms

C. H. Lee ,  J. W. Kim ,  Y. W. Choi and others 4

한국생산제조학회 학술발표대회 논문집

2021 .12

PATTERN RECOGNITION AND MACHINE LEARNING

김종호

JOURAN OF THE KOREAN SOCIETY OF CIVIL ENGINEERS

2021 .10

External defect detection system for teflon tube using machine learning

C. M. Jo ,  J. G Kim ,  S. H. Lee and others 5

한국생산제조학회 학술발표대회 논문집

2021 .07

Novel method of fault diagnosis for machine systems using time series signal and various machine learning techniques

Hyunjae Kim ,  Jong Moon Ha ,  Jungho Pa and others 6

대한기계학회 춘추학술대회

2015 .11