Search Results - "Söffker, Dirk"
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State-of-the-art in integrated prognostics and health management control for utility-scale wind turbines
Published in Renewable & sustainable energy reviews (01-07-2021)“…Wind energy takes an important role in the transformation of the global energy system towards clean and sustainable sources. The main development of wind…”
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State-of-the-art in wind turbine control: Trends and challenges
Published in Renewable & sustainable energy reviews (01-07-2016)“…Wind energy is one of the most rapidly growing renewable sources of energy due to the fact that it has little negative impact on environment. To meet the…”
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Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art Solutions
Published in Energies (Basel) (25-02-2018)“…In light of increasing alerts about limited energy sources and environment degradation, it has become essential to search for alternatives to thermal…”
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4
Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
Published in Sensors (Basel, Switzerland) (03-03-2019)“…Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring…”
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IPC‐based robust disturbance accommodating control for load mitigation and speed regulation of wind turbines
Published in Wind energy (Chichester, England) (01-04-2024)“…Summary Over the past few decades, global demand for renewable energy has been rising steadily. To meet this demand, there has been an exponential growth in…”
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6
Optimization Strategy for PID-Controller Design of AMB Rotor Systems
Published in IEEE transactions on control systems technology (01-05-2016)“…Most industrial active magnetic bearings (AMBs) are controlled by proportional-integral-derivative (PID) controllers. Usually, a time-consuming iterative…”
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Wind turbine robust disturbance accommodating control using non‐smooth H∞ optimization
Published in Wind energy (Chichester, England) (01-01-2022)“…Summary Disturbance accommodating control (DAC) has been developed in the last decades for wind turbines to control the rotor/generator speed and to reduce…”
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Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives
Published in Energies (01-06-2014)“…The main advantage of hybrid powertrains is based on the efficient transfer of power and torque from power sources to the powertrain as well as recapturing of…”
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Journal Article Book Review -
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Multi-Level Feature Extraction and Classification for Lane Changing Behavior Prediction and POD-Based Evaluation
Published in Automation (Basel) (01-09-2024)“…Lane changing behavior (LCB) prediction is a crucial functionality of advanced driver-assistance systems and autonomous vehicles. Predicting whether or not the…”
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A review on machine learning-based models for lane-changing behavior prediction and recognition
Published in Frontiers in future transportation (24-01-2023)“…A major aspect in the development of advanced driving assistance systems (ADASs) is the research in developing human driving behavior prediction and…”
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Quantification of human behavior levels by extending Rasmussen's SRK model and the effects of time pressure and training on the levels switching
Published in Heliyon (01-04-2023)“…Human factor-related accidents account for an increasing portion of the total accidents through the advancing level of system automation. Human reliability…”
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Improved Driving Behaviors Prediction Based on Fuzzy Logic-Hidden Markov Model (FL-HMM)
Published in 2018 IEEE Intelligent Vehicles Symposium (IV) (01-06-2018)“…Research and development of human driving behaviors play an important role in the development of assistance systems. In this contribution, a driving behaviors…”
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Conference Proceeding -
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Risk Areas Determination for Autonomous- and Semi-autonomous Aerial Systems Considering Run-Time Technical Reliability Assessment
Published in Journal of intelligent & robotic systems (01-03-2020)“…Autonomous or semi-autonomous aerial systems are used in different application domains to simplify or assist humans tasks. In this context, their behavior has…”
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A brief review and a first application of time-frequency-based analysis methods for monitoring of strip rolling mills
Published in Journal of process control (01-11-2015)“…To reduce downtimes and extend the lifetime of components, fault detection and identification become more important in production plants. Sensors and other…”
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Adaptive Step Size Control of Extended/Unscented Kalman Filter Using Event Handling Concept
Published in Frontiers in mechanical engineering (28-01-2020)“…This paper presents a novel (Extended/Unscented) Kalman Filter by augmenting the event handling procedure of Ordinary Differential Equation (ODE) solvers with…”
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Adaptive robust observer-based control for structural load mitigation and speed regulation in commercial wind turbines
Published in IEEE access (01-01-2024)“…As the size of wind turbines (WTs) increases, an additional increase in the structural load on the WT components is to be expected. This will have an impact on…”
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Integration of case-based reasoning and fuzzy approaches for real-time applications in dynamic environments: current status and future directions
Published in The Artificial intelligence review (01-03-2020)“…This survey reviews recent researches conducted on the application of fuzzy approaches to Case-Based Reasoning (CBR) dealing with real-time applications. Fuzzy…”
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Battery Management System for Future Electric Vehicles
Published in Applied sciences (01-08-2020)“…The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an…”
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Does Classifier Fusion Improve the Overall Performance? Numerical Analysis of Data and Fusion Method Characteristics Influencing Classifier Fusion Performance
Published in Entropy (Basel, Switzerland) (05-09-2019)“…The reliability of complex or safety critical systems is of increasing importance in several application fields. In many cases, decisions evaluating situations…”
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Data-driven stabilization of unknown nonlinear dynamical systems using a cognition-based framework
Published in Nonlinear dynamics (01-10-2016)“…In this paper, a cognitive stabilizer concept is introduced. The framework acts as an adaptive discrete control approach. The aim of the cognitive stabilizer…”
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Journal Article