Browse by Subject FAULT-DETECTION
Showing results 1 to 21 of 21
| A methodology for diagnosing FAC induced pipe thinning using accelerometers and deep learning models Chae, Young Ho; Kim, Seung Geun; Kim, Hyeonmin; Kim, Jung Taek; Seong, Poong Hyun, ANNALS OF NUCLEAR ENERGY, v.143, 2020-08 |
| A novel operation approach for the energy efficiency improvement of the HVAC system in office spaces through real-time big data analytics Li, Wenzhuo; Koo, Choongwan; Hong, Taehoon; Oh, Jeongyoon; Cha, Seung Hyun; Wang, Shengwei, RENEWABLE & SUSTAINABLE ENERGY REVIEWS, v.127, 2020-07 |
| Aerodynamically Controlled Missile Flight Datasets and Its Applications Jung, Ki-Wook; KIM, Youngwon; Lee, Chang-Hun, INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, v.24, no.1, pp.248 - 260, 2023-02 |
| Application of an integrated power line signal analysis methodology to the detection of major rotating machine abnormalities in nuclear power plants Jung, JC; Chang, YW; Seong, Poong-Hyun, NUCLEAR ENGINEERING AND DESIGN, v.229, no.2-3, pp.307 - 315, 2004-04 |
| Development of a method for securing the operator's situation awareness from manipulation attacks on NPP process data Lee, Chanyoung; Song, Jae Gu; Lee, Cheol Kwon; Seong, Poong Hyun, NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.6, pp.2011 - 2022, 2022-06 |
| Distributed Observes for Cyberattack Detection and Isolation in Formation-Flying Unmanned Aerial Vehicles Negash, Lebsework; Kim, Sang Hyeon; Choi, Han-Lim, JOURNAL OF AEROSPACE INFORMATION SYSTEMS, v.14, no.10, pp.551 - 565, 2017-10 |
| Disturbance Observer for Estimating Higher Order Disturbances in Time Series Expansion Kim, Kyung-Soo; Rew, KH; Kim, Soohyun, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.55, pp.1905 - 1911, 2010-08 |
| Effects of environmental and operational variability on structural health monitoring Sohn, Hoon, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, v.365, no.1851, pp.539 - 560, 2007-02 |
| Feature variance regularization method for autoencoder-based one-class classification Kim, Boeun; Ryu, Kyung Hwan; Kim, Ji Hee; Heo, Seongmin, COMPUTERS & CHEMICAL ENGINEERING, v.161, 2022-05 |
| Improving software reliability prediction through multi-criteria based dynamic model selection and combination Park, Jinhee; Baik, Jong-Moon, JOURNAL OF SYSTEMS AND SOFTWARE, v.101, pp.236 - 244, 2015-03 |
| Localization of a sound source in a noisy environment by hyperbolic curves in quefrency domain Park, Choon-Su; Jeon, Jong Hoon; Kim, Yang-Hann, JOURNAL OF SOUND AND VIBRATION, v.333, no.21, pp.5630 - 5640, 2014-10 |
| Motor Health Monitoring at Standstill Through Impedance Analysis Shin, Sung Min; Choi, Bohwan; Kang, Hyun Gook, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.63, no.7, pp.4422 - 4431, 2016-07 |
| Multimodal anomaly detection for assistive robots Park, Daehyung; Kim, Hokeun; Kemp, Charles C., AUTONOMOUS ROBOTS, v.43, no.3, pp.611 - 629, 2019-03 |
| Near field impulsive source localization in a noisy environment Choi, Young-Chul; Kim, Yang-Hann, JOURNAL OF SOUND AND VIBRATION, v.303, no.1-2, pp.209 - 220, 2007-06 |
| Novel Deep-Learning-Aided Multimodal Target Tracking Moon, SungTae; Youn, Wonkeun; Bang, Hyochoong, IEEE SENSORS JOURNAL, v.21, no.18, pp.20730 - 20739, 2021-09 |
| Real time nuclear power plant operating state cognitive algorithm development using dynamic Bayesian network Oh, ChoHwan; Lee, Jeong-Ik, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.198, pp.106879, 2020-06 |
| Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review Kim, Sung Wook; Kong, Jun Ho; Lee, Sang Won; Lee, Seungchul, INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.23, no.1, pp.111 - 129, 2022-01 |
| Reduced order disturbance observer for discrete-time linear Systems Kim, Kyung-Soo; Rew, Keun-Ho, AUTOMATICA, v.49, no.4, pp.968 - 975, 2013-04 |
Statistical Process Monitoring of the Tennessee Eastman Process Using Parallel Autoassociative Neural Networks and a Large Dataset Heo, Seongmin; Lee, Jay Hyung, PROCESSES, v.7, no.7, pp.411, 2019-07 |
| Unsupervised learning algorithm for signal validation in emergency situations at nuclear power plants Choi, Younhee; Yoon, Gyeongmin; Kim, Jonghyun, NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.4, pp.1230 - 1244, 2022-04 |
| Wavelet-like convolutional neural network structure for time-series data classification Park, Seungtae; Jeong, Haedong; Min, Hyungcheol; Lee, Hojin; Lee, Seungchul, SMART STRUCTURES AND SYSTEMS, v.22, no.2, pp.175 - 183, 2018-08 |
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