Daniel Jung 个人学术档案 - 学术资源搜索

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Erik FriskProfessor, Department of Electrical Engineering, Linköping University, Sweden在 liu.se 的电子邮件经过验证
Mattias KrysanderAssociate Professor, Department of Electrical Engineering, Linköping University, Sweden在 liu.se 的电子邮件经过验证
Christofer SundströmAssociate professor, Vehicular Systems, Department of Electrical Engineering, Linköping University在 liu.se 的电子邮件经过验证
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and Engineering在 vanderbilt.edu 的电子邮件经过验证
Hamed KhorasganiWorkday在 workday.com 的电子邮件经过验证
Qadeer AhmedAssistant Professor, The Ohio State University, Center for Automotive Research在 ieee.org 的电子邮件经过验证
Lars ErikssonProfessor at Vehicular Systems, Linköping University在 liu.se 的电子邮件经过验证
Kok Yew Ng (Mark Ng)Senior Lecturer at School of Engineering, Engineering Research Institute, Ulster University在 ulster.ac.uk 的电子邮件经过验证
Giorgio RizzoniProfessor of Mechanical and Aerospace Engineering, The Ohio State University在 osu.edu 的电子邮件经过验证
Pierpaolo PolverinoUniversità degli Studi di Salerno在 unisa.it 的电子邮件经过验证
Cesare PianeseUniversity of Salerno - Dept. of Industrial Engineering - eProLab (Energy and Propulsion Laboratory)在 unisa.it 的电子邮件经过验证
Levent GuvencProfessor of Mechanical and Aerospace Engineering, Ohio State University在 osu.edu 的电子邮件经过验证
Santhosh TamilarasanDoctoral Scholar at Automated Driving Lab, OSU在 osu.edu 的电子邮件经过验证
Pradeep Sharma OrugantiThe Ohio State University在 osu.edu 的电子邮件经过验证
Shreshta Rajakumar DeshpandeResearch Engineer, Southwest Research Institute在 swri.org 的电子邮件经过验证
Marcello CanovaThe Ohio State University在 osu.edu 的电子邮件经过验证
Eeshan DeosthaleThe Ohio State University在 osu.edu 的电子邮件经过验证
Xieyuan ZhangWayve在 wayve.ai 的电子邮件经过验证
Oscar GustafssonLinköping University在 liu.se 的电子邮件经过验证
Frans SkarmanLinköping University在 liu.se 的电子邮件经过验证

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Daniel Jung

Associate Professor, Linköping University, Sweden.

在 liu.se 的电子邮件经过验证 - 首页

Model-based diagnosis data-driven diagnosis Machine learning Optimal control of hybrid electric vehicles


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A method for quantitative fault diagnosability analysis of stochastic linear descriptor models D Eriksson, E Frisk, M Krysander Automatica 49 (6), 1591-1600, 2013	102	2013
A combined data-driven and model-based residual selection algorithm for fault detection and isolation D Jung, C Sundström IEEE Transactions on Control Systems Technology 27 (2), 616-630, 2017	94	2017
A toolbox for analysis and design of model based diagnosis systems for large scale models E Frisk, M Krysander, D Jung IFAC-PapersOnLine 50 (1), 3287-3293, 2017	83	2017
Combining model-based diagnosis and data-driven anomaly classifiers for fault isolation D Jung, KY Ng, E Frisk, M Krysander Control Engineering Practice 80, 146-156, 2018	77	2018
Model-based diagnosis through structural analysis and causal computation for automotive polymer electrolyte membrane fuel cell systems P Polverino, E Frisk, D Jung, M Krysander, C Pianese Journal of Power Sources 357, 26-40, 2017	64	2017
Data-driven fault diagnosis analysis and open-set classification of time-series data A Lundgren, D Jung Control Engineering Practice 121, 105006, 2022	44*	2022
Development of misfire detection algorithm using quantitative FDI performance analysis D Jung, L Eriksson, E Frisk, M Krysander Control Engineering Practice 34, 49-60, 2015	41	2015
Residual selection for fault detection and isolation using convex optimization D Jung, E Frisk Automatica 97, 143-149, 2018	38	2018
Data-driven open-set fault classification of residual data using Bayesian filtering D Jung IEEE Transactions on Control Systems Technology 28 (5), 2045-2052, 2020	34	2020
Automated design of grey-box recurrent neural networks for fault diagnosis using structural models and causal information D Jung Learning for Dynamics and Control Conference, 8-20, 2022	26*	2022
Structural approach for distributed fault detection and isolation H Khorasgani, D Jung, G Biswas IFAC-PapersOnLine 48 (21), 72-77, 2015	26	2015
A combined diagnosis system design using model-based and data-driven methods D Jung, KY Ng, E Frisk, M Krysander 2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 177-182, 2016	25	2016
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle S Rajakumar Deshpande, D Jung, M Canova IEEE Transactions on Vehicular Technology 70 (11), 11204 - 11215, 2021	23	2021
Sensor selection for fault diagnosis in uncertain systems D Jung, Y Dong, E Frisk, M Krysander, G Biswas International Journal of Control, 2018	23	2018
Quantitative stochastic fault diagnosability analysis D Eriksson, M Krysander, E Frisk 50th IEEE Conference on Decision and Control, 2011	22	2011
Drive Scenario Generation Based on Metrics for Evaluating an Autonomous Vehicle Speed Controller For Fuel Efficiency Improvement S Tamilarasan, D Jung, L Guvenc WCX18: SAE World Congress Experience, April, 10-12, 2018	20*	2018
Analysis of fault isolation assumptions when comparing model-based design approaches of diagnosis systems D Jung, H Khorasgani, E Frisk, M Krysander, G Biswas IFAC-PapersOnLine 48 (21), 1289-1296, 2015	20	2015
Mission-based design space exploration for powertrain electrification of series plugin hybrid electric delivery truck D Jung, Q Ahmed, X Zhang, G Rizzoni SAE Technical Paper, 2018	19	2018
Robust residual selection for fault detection H Khorasgani, DE Jung, G Biswas, E Frisk, M Krysander 53rd IEEE Conference on Decision and Control, 5764-5769, 2014	19	2014
Structural methodologies for distributed fault detection and isolation H Khorasgani, G Biswas, D Jung Applied Sciences 9 (7), 1286, 2019	18	2019

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