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Abnormal State Diagnosis Based on Important Parameters Using Explainable Model

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2021-11-26 View56

Abnormal state diagnosis model tolerant to noise in plant data File File

Shin, Ji Hyeon , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2021-04 View107

An Approach to Establishing Operator Trust Through an Explainable Diagnostic Model

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2024-08-28 View70

An approach to validating abnormal event diagnoses with Explainable AI File

Shin, Ji Hyeon , Bae, Junyong , Lee, Seung Jun

Article Issue Date2025-11 View18

An interpretable convolutional neural network for nuclear power plant abnormal events File

Shin, Ji Hyeon , Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-01 View114

Approach to diagnosing multiple abnormal events with single-event training data File File

Shin, Ji Hyeon , Cho, Seung Gyu , Koo, Seo Ryong , Lee, Seung Jun

Article Issue Date2024-02 View234

Comparison of Diagnosis Model for Classifying Multi-Abnormal Events in Nuclear Power Plants

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2021-10-21 View71

Concept of understandable diagnostic cause visualization with explainable AI and multilevel flow modeling File File

Shin, Ji Hyeon , Kang, Jung Sung , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2025-08 View122

Consistency check algorithm for validation and re-diagnosis to improve the accuracy of abnormality diagnosis in nuclear power plants File File

Kim, Geunhee , Kim, Jae Min , Shin, Ji Hyeon , Lee, Seung Jun

Article Issue Date2022-10 View209

Convolutional Neural Network with Feature Selection for Multi Abnormal State Diagnosis

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2021-12-02 View59

Data Transformation to Enhance Explainability of Abnormality Diagnosis for Nuclear Power Plants

Shin, Ji Hyeon , Kim, Jae Min , Lee, Seung Jun

Conference Paper Issue Date2022-10-21 View64

Deep Autoencoding Gaussian Mixture Model for Detection of Manipulation Attacks on NPP Process Data

Bae, Junyong , Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2024-10-10 View57

Ensuring Trustable Results through Misdiagnosis Detection with Explainable AI

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2024-10-25 View71

Feature Selection Using Machine Learning for Complex Abnormal Event Diagnosis

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2023-05-18 View65

Interpretability Improvement of Convolutional Neural Network for Reliable Nuclear Power Plant State Diagnosis File

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2021-09-20 View74

Learning to Explain for Diagnosis Validation in Nuclear Power Plant Operations

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2024-12-06 View86

Multi-Abnormality Attention Diagnosis Model Using One-vs-Rest Classifier in a Nuclear Power Plant File File

Cho, Seung Gyu , Choi, Jeonghun , Shin, Ji Hyeon , Lee, Seung Jun

Article Issue Date2023-07 View129

Multi-label Classification with Embedded Feature Selection for Complex Abnormal Event Diagnosis

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2023-09-03 View59

Relevant Plant Parameter Tracking for Abnormal State Diagnosis

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2021-10-19 View74

Reliable Abnormality Diagnosis Model for Nuclear Power Plant Using Convolutional Neural Networks

Shin, Ji Hyeon , Lee, Seung Jun

Conference Paper Issue Date2020-12-16 View44

Robust diagnosis of abnormal events using fuzzy-based feature extraction in nuclear power plants File

Cho, Seung Gyu , Shin, Ji Hyeon , Lee, Seung Jun

Article Issue Date2025-07 View119

Transparent, Robust, and Understandable Abnormal Situation Diagnosis Using Explainable AI File

Shin, Ji Hyeon

Thesis Issue Date2025-02 View89

Visualizing Key Features of Nuclear Power Plants in Abnormal Situation

Shin, Ji Hyeon , Kim, Jae Min , Lee, Seung Jun

Conference Paper Issue Date2022-08-30 View89

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