Forward-stepwise regression analysis for fine leak batch testing of wafer-level hermetic MEMS packages. - Changsoo Jang; Byeng Dong Youn; Ping F. Wang; Bongtae Han; Suk-Jin Ham (Microelectron. Reliab., 2010)

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life. - Chao Hu; Byeng D. Youn; Pingfeng Wang; Joung Taek Yoon (Reliab. Eng. Syst. Saf., 2012)

Online thermal state estimation of high power lithium-ion battery. - Hyunjae Kim; Sunuwe Kim; Taejin Kim; Chao Hu; Byeng D. Youn (ICPHM, 2015)

TDR-based pipe leakage detection and location using Bayesian inference. - Taejin Kim; Sihyeong Woo; Byeng D. Youn; Young-Cheol Huh (ICPHM, 2015)

An empirical model to describe performance degradation for warranty abuse detection in portable electronics. - Hyun-Seok Oh; Seung-yun Choi; Keunsu Kim; Byeng D. Youn; Michael G. Pecht (Reliab. Eng. Syst. Saf., 2015)

An Online-Applicable Model for Predicting Health Degradation of PEM Fuel Cells With Root Cause Analysis. - Taejin Kim; Hyun-Seok Oh; Hyunjae Kim; Byeng D. Youn (IEEE Trans. Ind. Electron., 2016)

Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error. - Jungho Park; Jong Moon Ha; Hyun-Seok Oh; Byeng D. Youn; Joo Ho Choi; Nam Ho Kim (IEEE Trans. Reliab., 2016)

Assembly yield prediction of plastically encapsulated packages with a large number of manufacturing variables by advanced approximate integration method. - Hsiu-Ping Wei; Bongtae Han; Byeng Dong Youn; Hyuk Shin; Ilho Kim; Hojeong Moon (Microelectron. Reliab., 2017)

A newly formulated resilience measure that considers false alarms. - Joung Taek Yoon; Byeng D. Youn; Minji Yoo; Yunhan Kim (Reliab. Eng. Syst. Saf., 2017)

Bivariate Lifetime Model for Organic Light-Emitting Diodes. - Dae Whan Kim; Hyunseok Oh; Byeng Dong Youn; Dongil Kwon (IEEE Trans. Ind. Electron., 2017)

Toothwise Fault Identification for a Planetary Gearbox Based on a Health Data Map. - Jong Moon Ha; Jungho Park; Kyumin Na; Yunhan Kim; Byeng D. Youn (IEEE Trans. Ind. Electron., 2018)

Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis. - Hyunseok Oh; Joon Ha Jung; Byung Chul Jeon; Byeng D. Youn (IEEE Trans. Ind. Electron., 2018)

A New Parameter Repurposing Method for Parameter Transfer With Small Dataset and Its Application in Fault Diagnosis of Rolling Element Bearings. - Hyunjae Kim; Byeng D. Youn (IEEE Access, 2019)

A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine. - Woosung Choi; Byeng D. Youn; Hyunseok Oh; Nam H. Kim (Reliab. Eng. Syst. Saf., 2019)

PHM experimental design for effective state separation using Jensen-Shannon divergence. - Taejin Kim; Gueseok Lee; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2019)

Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis. - Joung Taek Yoon; Byeng D. Youn; Minji Yoo; Yunhan Kim; Sooho Kim (Reliab. Eng. Syst. Saf., 2019)

Operation-Adaptive Damage Assessment of Steam Turbines Using a Nonlinear Creep-Fatigue Interaction Model. - Woosung Choi; Heonjun Yoon; Byeng Dong Youn (IEEE Access, 2020)

Model-Based Fault Detection Method for Coil Burnout in Solenoid Valves Subjected to Dynamic Thermal Loading. - Soo-Ho Jo; Boseong Seo; Hyunseok Oh; Byeng D. Youn; Dongki Lee (IEEE Access, 2020)

Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems. - Myungyon Kim; Joon Ha Jung; Jin Uk Ko; Hyeon Bae Kong; Jinwook Lee; Byeng Dong Youn (IEEE Access, 2020)

A Semi-Supervised Autoencoder With an Auxiliary Task (SAAT) for Power Transformer Fault Diagnosis Using Dissolved Gas Analysis. - Sunuwe Kim; Soo-Ho Jo; Wongon Kim; Jongmin Park; Jingyo Jeong; Yeongmin Han; Daeil Kim; Byeng Dong Youn (IEEE Access, 2020)

A new calibration metric that considers statistical correlation: Marginal Probability and Correlation Residuals. - Wongon Kim; Heonjun Yoon; Guesuk Lee; Taejin Kim; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2020)

A resilience measure formulation that considers sensor faults. - Minji Yoo; Taejin Kim; Joung Taek Yoon; Yunhan Kim; Sooho Kim; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2020)

Intelligent Steam Power Plant Boiler Waterwall Tube Leakage Detection via Machine Learning-Based Optimal Sensor Selection. - Salman Khalid 003; Woo Cheol Lim; Heung Soo Kim; Yeong Tak Oh; Byeng D. Youn; Hee-Soo Kim; Yong-Chae Bae (Sensors, 2020)

A Health Data Map-Based Ensemble of Deep Domain Adaptation Under Inhomogeneous Operating Conditions for Fault Diagnosis of a Planetary Gearbox. - Jong Moon Ha; Byeng D. Youn (IEEE Access, 2021)

Deep Learning-Based Diagnosis of Peripheral Artery Disease via Continuous Property-Adversarial Regularization: Preliminary in Silico Study. - Sooho Kim; Jin-Oh Hahn; Byeng Dong Youn (IEEE Access, 2021)

Drive-Tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions. - Chan Hee Park; Junmin Lee; Hyeongmin Kim; Chaehyun Suh; Myeongbaek Youn; Yongjin Shin; Sung-Hoon Ahn; Byeng D. Youn (IEEE Access, 2021)

Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis. - Joon Ha Jung; Myungyon Kim; Jin Uk Ko; Hyeon Bae Kong; Byeng D. Youn; Kyung Ho Sun (Comput. Ind., 2021)

Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis. - Jin Uk Ko; Joon Ha Jung; Myungyon Kim; Hyeon Bae Kong; Jinwook Lee; Byeng D. Youn (Comput. Ind., 2021)

Reliability analysis of a tendon-driven actuation for soft robots. - Useok Jeong; Keunsu Kim; Sang-Hun Kim; Hyunhee Choi; Byeng Dong Youn; Kyu-Jin Cho (Int. J. Robotics Res., 2021)

A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. - Adam Thelen; Xiaoge Zhang 001; Olga Fink; Yan Lu; Sayan Ghosh; Byeng D. Youn; Michael D. Todd; Sankaran Mahadevan; Chao Hu; Zhen Hu (CoRR, 2022)

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. - Adam Thelen; Xiaoge Zhang 001; Olga Fink; Yan Lu; Sayan Ghosh; Byeng D. Youn; Michael D. Todd; Sankaran Mahadevan; Chao Hu; Zhen Hu (CoRR, 2022)

A new auto-encoder-based dynamic threshold to reduce false alarm rate for anomaly detection of steam turbines. - Jin Uk Ko; Kyumin Na; Joon-Seok Oh; Jaedong Kim; Byeng D. Youn (Expert Syst. Appl., 2022)

Prognostic health management of the robotic strain wave gear reducer based on variable speed of operation: a data-driven via deep learning approach. - Izaz Raouf; Hyewon Lee; Yeong Rim Noh; Byeng Dong Youn; Heung Soo Kim (J. Comput. Des. Eng., 2022)

Design principle for effective mechanical boundary using a resonance band gap under elastic waves. - Yong Chang Shin; Soo-Ho Jo; Heonjun Yoon; Byeng D. Youn (J. Comput. Des. Eng., 2022)

Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning. - Yunhan Kim; Taekyum Kim; Byeng D. Youn; Sung-Hoon Ahn (J. Intell. Manuf., 2022)

Estimation of fatigue crack initiation and growth in engineering product development using a digital twin approach. - Wongon Kim; Guesuk Lee; Hyejeong Son; Hyunhee Choi; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2022)

Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery. - Jinwook Lee; Myungyon Kim; Jin Uk Ko; Joon Ha Jung; Kyung Ho Sun; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2022)

A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map. - Chan Hee Park; Hyeongmin Kim; Chaehyun Suh; Minseok Chae; Heonjun Yoon; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2022)

PERL: Probabilistic energy-ratio-based localization for boiler tube leaks using descriptors of acoustic emission signals. - Kyumin Na; Heonjun Yoon; Jaedong Kim; Sungjong Kim; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2023)

MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines. - Hyeongmin Kim; Chan Hee Park; Chaehyun Suh; Minseok Chae; Heonjun Yoon; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem. - Jin Uk Ko; Jinwook Lee; Taehun Kim; Yong Chae Kim; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Probabilistic framework for reliable optimal design of gearboxes in general-purpose industrial robots considering random use conditions. - Jin-gyun Park; Heonjun Yoon; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data. - Hyeongmin Kim; Jin Uk Ko; Kyumin Na; Hyeonchan Lee; Hee-soo Kim; Jong-Duk Son; Heonjun Yoon; Byeng D. Youn (Expert Syst. Appl., 2023)

Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem. - Taewan Hwang; Jong Moon Ha; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions. - Jongmin Park; Jinoh Yoo; Taehyung Kim; Jong Moon Ha; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths. - Jin Uk Ko; Jinwook Lee; Taehun Kim; Yong Chae Kim; Byeng D. Youn (Expert Syst. Appl., 2023)

Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery. - Taehun Kim; Jin Uk Ko; Jinwook Lee; Yong Chae Kim; Joon Ha Jung; Byeng D. Youn (Adv. Eng. Informatics, 2024)

Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery. - Yong Chae Kim; Jin Uk Ko; Jinwook Lee; Taehun Kim; Joon Ha Jung; Byeng D. Youn (Adv. Eng. Informatics, 2024)

Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance. - Jinwook Lee; Jin Uk Ko; Taehun Kim; Yong Chae Kim; Joon Ha Jung; Byeng D. Youn (Expert Syst. Appl., 2024)

Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions. - Seungyun Lee; Sungjong Kim; Su J. Kim; Jiwon Lee; Heonjun Yoon; Byeng D. Youn (Expert Syst. Appl., 2024)

Frequency-focused sound data generator for fault diagnosis in industrial robots. - Semin Ahn; Jinoh Yoo; Kyu-Wha Lee; Byeng Dong Youn; Sung-Hoon Ahn (J. Comput. Des. Eng., 2024)

PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions. - Minseok Chae; Hyeongmin Kim; Hye Jun Oh; Chan Hee Park; Chaehyun Suh; Heonjun Yoon; Byeng D. Youn (J. Comput. Des. Eng., 2024)

Fault frequency band segmentation and domain adaptation with fault simulated signal for fault diagnosis of rolling element bearings. - Jongmin Park; Jinoh Yoo; Taehyung Kim; Minjung Kim; Jonghyuk Park; Jong Moon Ha; Byeng D. Youn (J. Comput. Des. Eng., 2024)

Self-supervised feature learning for motor fault diagnosis under various torque conditions. - Sang Kyung Lee; Hyeongmin Kim; Minseok Chae; Hye Jun Oh; Heonjun Yoon; Byeng D. Youn (Knowl. Based Syst., 2024)

Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing. - Yong Chae Kim; Jinwook Lee; Taehun Kim; Jonghwa Baek; Jin Uk Ko; Joon Ha Jung; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2024)

Peripheral artery disease diagnosis based on deep learning-enabled analysis of non-invasive arterial pulse waveforms. - Sina Masoumi Shahrbabak; Sooho Kim; Byeng Dong Youn; Hao-Min Cheng; Chen-Huan Chen; Ramakrishna Mukkamala; Jin-Oh Hahn (Comput. Biol. Medicine, 2024)

FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions. - Kyumin Na; Yunhan Kim; Heonjun Yoon; Byeng D. Youn (Expert Syst. Appl., 2024)

Optimized relative entropy for robust fault detection in excavator traveling gearboxes via smeared envelope spectrum analysis of cyclo-non-stationary signals. - Kyumin Na; Keon Kim; Jinoh Yoo; Jinwook Lee; Byeng D. Youn (Expert Syst. Appl., 2025)

Spectral kurtosis attention network (SKAN): Synergizing signal processing and deep learning for fault diagnosis of rolling element bearings. - Jongmin Park; Jinoh Yoo; Taehyung Kim; Minjung Kim; Jong Moon Ha; Byeng D. Youn (Expert Syst. Appl., 2025)

Inverse design of phononic crystals with double defects using surrogate-assisted conditional generative adversarial network. - Donghyu Lee; Taehun Kim; Byeng D. Youn; Soo-Ho Jo (J. Comput. Des. Eng., 2025)

FL-SSDAN: Fleet-level semi-supervised domain adaptation network for fault diagnosis of overhead hoist transports. - Chaehyun Suh; Hyeongmin Kim; Chan Hee Park; Minseok Chae; Joung Taek Yoon; Ilkyu Lee; Heonjun Yoon; Byeng D. Youn (J. Comput. Des. Eng., 2025)

Physics-informed Gaussian process probabilistic modeling with multi-source data for prognostics of degradation processes. - Chen Jiang; Teng Zhong; Hyunhee Choi; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2025)

Physics-based digital twin updating and twin-based explainable crack identification of mechanical lap joint. - Wongon Kim; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2025)