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1.
- Unsupervised learning and diagnosis method for journal bearing system in a large-scale power plant
- 전병철, 서울대학교 대학원, [2016]
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2.
- Diagnosis, Achievement, and Social Inequality: The Correlates and Consequences of Children's Mental Health Diagnoses
- Potter, Daniel Jason, University of Virginia, [2011]
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3.
- Fast and accurate logic diagnosis using deep learning
- 김태현, Graduate School, Yonsei University, [2024]
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4.
- APPLICATION OF HYBRID OBSERVATION TECHNIQUES FOR FAULT DIAGNOSIS OF ROTATING MACHINES
- 필탄 파르진, The Graduate School of the University of Ulsan Dep, [2020]
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5.
- Deep-Learning-Based Fault Diagnosis Using Dissolved Gas Analysis for Unlabeled Fault Data of Industrial Power Transformers = 비표지 고장 데이터와 유중가스분석데이터를 이용한 딥러닝기반 주변압기 고장진단 연구
- 김선의, 서울대학교 대학원, [2021]
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6.
- Development of advanced optical materials based clinical biosensors towards precise diagnosis
- 송소진, Graduate School, Korea University, [2022]
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7.
- An Uncertainty-Aware Framework for Fault Diagnosis Using Low and High Sampling Rate Signals = 저샘플링 및 고샘플링 신호를 이용한 불확실성 기반 고장 진단 프레임워크
- 나규민, 서울대학교 대학원, [2023]
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8.
- Integrated diagnosis of electrical cables and battery systems via CNN-based reflectometry and impedance estimation
- 이형민, Graduate School, Yonsei University, [2023]
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9.
- Validation and Re-diagnosis Using Consistency Check Algorithm to Improve Accuracy of Abnormality Diagnosis in Nuclear Power Plant
- Geunhee Kim, Ulsan National Institute of Science and Technology, [2022]
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10.
- Quantitative performance evaluation of a knock sensor for vibration-based fault diagnosis in a planetary gearbox
- 김건, 서울대학교 대학원, [2017]