Search Results - "Jung, Joon Ha"

Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps by Sun, Kyung Ho, Huh, Hyunsuk, Tama, Bayu Adhi, Lee, Soo Young, Jung, Joon Ha, Lee, Seungchul

“…In the era of the fourth industrial revolution (Industry 4.0) and the Internet of Things (IoT), real-time data is enormously collected and analyzed from…”
Get full text

Optimal vibration image size determination for convolutional neural network based fluid-film rotor-bearing system diagnosis by Jeon, Byung Chul, Jung, Joon Ha, Kim, Myungyon, Sun, Kyung Ho, Youn, Byeng D.

“…This paper suggests an image gradient based method that determines the optimal image size for convolutional neural network (CNN)-based diagnosis of fluid-film…”
Get full text

Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis by Oh, Hyunseok, Jung, Joon Ha, Jeon, Byung Chul, Youn, Byeng Dong

“…This paper proposes a scalable and unsupervised feature engineering method that uses vibration imaging and deep learning. For scalability, a vibration imaging…”
Get full text

Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery by Lee, Jinwook, Kim, Myungyon, Ko, Jin Uk, Jung, Joon Ha, Sun, Kyung Ho, Youn, Byeng D.

“…•A new unsupervised domain adaptation based fault diagnosis method is proposed.•Both marginal and class-conditional distributions are aligned for…”
Get full text

Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance by Lee, Jinwook, Ko, Jin Uk, Kim, Taehun, Kim, Yong Chae, Jung, Joon Ha, Youn, Byeng D.

“…•A new class imbalance domain adaptation network for fault diagnosis is proposed.•Domains shift is mitigated by domain adversarial learning…”
Get full text

Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing by Kim, Yong Chae, Lee, Jinwook, Kim, Taehun, Baek, Jonghwa, Ko, Jin Uk, Jung, Joon Ha, Youn, Byeng D.

“…•We propose a gradient alignment based partial domain adaptation for fault diagnosis.•Domain knowledge filter is developed to mitigate domain distribution…”
Get full text

Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery by Kim, Yong Chae, Ko, Jin Uk, Lee, Jinwook, Kim, Taehun, Jung, Joon Ha, Youn, Byeng D.

“…•We propose a latent space alignment based domain adaptation for fault diagnosis.•A novel loss function aims to minimize local distribution discrepancies…”
Get full text

A robust and convex metric for unconstrained optimization in statistical model calibration—probability residual (PR) by Oh, Hyunseok, Choi, Hwanoh, Jung, Joon Ha, Youn, Byeng D.

“…Statistical model calibration is a practical tool for computational model development processes. However, in optimization-based model calibration, the quality…”
Get full text

A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults by Yoo, Seungjin, Jung, Joon Ha, Lee, Jai-Kyung, Shin, Sang Woo, Jang, Dal Sik

“…The hydraulic solenoid valve is an essential electromechanical component used in various industries to control the flow rate, pressure, and direction of…”
Get full text

Omnidirectional regeneration (ODR) of proximity sensor signals for robust diagnosis of journal bearing systems by Jung, Joon Ha, Jeon, Byung Chul, Youn, Byeng D., Kim, Myungyon, Kim, Donghwan, Kim, Yeonwhan

“…•We propose the omnidirectional regeneration (ODR) of gap sensor signals of journal bearing rotor systems.•The directionality of health states is studied, and…”
Get full text

Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems by Kim, Myungyon, Jung, Joon Ha, Ko, Jin Uk, Kong, Hyeon Bae, Lee, Jinwook, Youn, Byeng Dong

“…Fault diagnosis of rotor systems is important to prevent unexpected failures. Recently, deep learning (DL) methods, such as a convolutional neural network…”
Get full text

A Hybrid Approach of Data-driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth by Kong, Hyeon Bae, Jo, Soo-Ho, Jung, Joon Ha, Ha, Jong M., Shin, Yong Chang, Yoon, Heonjun, Sun, Kyung Ho, Seo, Yun-Ho, Jeon, Byung Chul

“…Lamb-wave-based nondestructive testing and evaluation (NDT/E) methods have drawn much attention due to their potential to inspect plate-like structures in a…”
Get full text

A Domain Adaptation with Semantic Clustering (DASC) method for fault diagnosis of rotating machinery by Kim, Myungyon, Ko, Jin Uk, Lee, Jinwook, Youn, Byeng D., Jung, Joon Ha, Sun, Kyung Ho

“…Recently, substantial research has explored the development of deep-learning-based methods to diagnose faults in rotating machinery. For these diagnosis…”
Get full text

Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis by Ko, Jin Uk, Jung, Joon Ha, Kim, Myungyon, Kong, Hyeon Bae, Lee, Jinwook, Youn, Byeng D.

“…•Multi-task learning of classification and denoising (MLCD) is proposed for noise-robust fault diagnosis.•MLCD learns classification and denoising…”
Get full text

Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery by Kim, Taehun, Ko, Jin Uk, Lee, Jinwook, Chae Kim, Yong, Jung, Joon Ha, Youn, Byeng D.

“…•A signal generation framework for fault diagnosis of rotating machines is proposed.•Spectrum-guided GAN learns fault characteristics to reduce training…”
Get full text

A Fault-Diagnosis Algorithm-Embedded Controller Design for Hydraulic Solenoid Valves in Industrial Applications by Yoo, Seungjin, Jung, Joon Ha, Lee, Jai-Kyung, Shin, Sang Woo, Jang, Dal Sik

Get full text

Development of Rotor Balancing Algorithm for a High-Precision Rotor System considering Dynamic Reliability through Automatic-Adaptive DBSCAN by Jung, Joon Ha, Kim, Byungock, Na, Woong Jae, Shin, Yun-ho

“…Recently, the demand for high-precision balancing of rotors has increased in the automobile industry, as more rotors are designed to rotate at ever-higher…”
Get full text

Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis by Jung, Joon Ha, Kim, Myungyon, Ko, Jin Uk, Kong, Hyeon Bae, Youn, Byeng D., Sun, Kyung Ho

“…•The effect of using label information in mini-batch generation is studied in this paper.•The composition and the order of mini-batch clearly affects the…”
Get full text

A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning by Hamadache, Moussa, Jung, Joon Ha, Park, Jungho, Youn, Byeng D.

Get full text

Datum unit optimization for robustness of a journal bearing diagnosis system by Jeon, Byung Chul, Jung, Joon Ha, Youn, Byeng Dong, Kim, Yeon-Whan, Bae, Yong-Chae

“…This paper describes a robust diagnosis method for a rotor system with a journal bearing. To enhance the robustness of a journal bearing diagnosis system, it…”
Get full text