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J Tautz-Weinert

Observed names: J. Tautz-Weinert, Jannis Tautz-Weinert, Jannis Tautz‐Weinert, Jannis Weinert (1251147), Tautz-Weinert, Jannis, Weinert, Jannis
Observed institutions: Loughborough University, Universidad de Zaragoza, Ramboll (Germany), Ramboll (Denmark), Ramboll (United Kingdom), CIRCE - Centro Tecnológico
ORCID: 0000-0002-8555-9246
Observed ORCID: 0000-0002-8555-9246
OpenAlex ID: A5004559339
Using SCADA data for wind turbine condition monitoring – a review
2016 · Jannis Tautz‐Weinert, Simon J. Watson · IET Renewable Power Generation · 476
Neural networks for wind turbine fault detection via current signature analysis
2016 · Raed Khalaf Ibrahim, J Tautz-Weinert, et al. · Loughborough University Institutional Repository (Loughborough University) · 25
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Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis
2018 · Jannis Tautz-Weinert, Nurseda Y. Yürüşen, et al. · Renewable Energy · 19
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Comparison of different modelling approaches of drive train temperature for the purposes of wind turbine failure detection
2016 · J Tautz-Weinert, S J Watson · Journal of Physics Conference Series · 18
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Statistical Evaluation of SCADA data for Wind Turbine Condition Monitoring and Farm Assessment
2018 · E Gonzalez, J Tautz-Weinert, et al. · Journal of Physics Conference Series · 14
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Detecting critical scour developments at monopile foundations under operating conditions
2015 · J Tautz-Weinert, Ursula Smolka, et al. · Loughborough University Institutional Repository (Loughborough University) · 10
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Optimisation of Data Acquisition in Wind Turbines with Data-Driven Conversion Functions for Sensor Measurements
2017 · L. Colone, M. Reder, et al. · Energy Procedia · 9
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A Damage Detection and Location Scheme for Offshore Wind Turbine Jacket Structures Based on Global Modal Properties
2022 · D. Cevasco, J. Tautz-Weinert, et al. · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering · 6
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Challenges in using operational data for reliable wind turbine condition monitoring
2017 · J Tautz-Weinert, Simon Watson · Loughborough University Institutional Repository (Loughborough University) · 6
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Feasibility of machine learning algorithms for classifying damaged offshore jacket structures using SCADA data
2020 · D Cevasco, J Tautz-Weinert, et al. · Journal of Physics Conference Series · 5
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Applicability of machine learning approaches for structural damage detection of offshore wind jacket structures based on low resolution data
2020 · D Cevasco, J Tautz-Weinert, et al. · Journal of Physics Conference Series · 5
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Improved wind turbine monitoring using operational data
2018 · J Tautz-Weinert · Loughborough University Institutional Repository (Loughborough University) · 4
The Financial Benefits of Various Catastrophic Failure Prevention Strategies in a Wind Farm: Two market studies (UK-Spain)
2017 · N Y Yürüşen, J Tautz-Weinert, et al. · Journal of Physics Conference Series · 2
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Condition monitoring of wind turbine drive trains by normal behaviour modelling of temperatures
2017 · J Tautz-Weinert, Simon Watson · Loughborough University Institutional Repository (Loughborough University) · 2
Combining model-based monitoring and a physics of failure approach for wind turbine failure detection
2017 · J Tautz-Weinert, Simon Watson · Loughborough University Institutional Repository (Loughborough University) · 2
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Condition monitoring by neural network modelling of drive train temperature [Poster]
2019 · Jannis Weinert (1251147), Simon Watson (1252809) · Loughborough University Research Repository (Loughborough University)
Condition monitoring by neural network modelling of drive train temperature [Poster]
2016 · J Tautz-Weinert, Simon Watson · Loughborough University Institutional Repository (Loughborough University)
Wind turbine fault detection by normal behaviour modelling [Poster]
2015 · J Tautz-Weinert, Simon Watson · Loughborough University Institutional Repository (Loughborough University)
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Works count: 24
Citation count: 603
H-index: 7
I10-index: 6
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