Andreas Kroll
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View article: Monitoring of ultra-high performance concrete manufacturing for reproducible quality and waste reduction
Monitoring of ultra-high performance concrete manufacturing for reproducible quality and waste reduction Open
Ultra-high performance concrete (UHPC) combines exceptional strength and durability, yet its industrial production is hampered by batch-to-batch variability that generates costly off-specification waste. Leveraging a 150-batch design-of-ex…
View article: An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed estimation
An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed estimation Open
An airborne measurement system with an onboard computer for data processing and recording that does not require constant radio communication for inspection and maintenance is presented. It detects, locates, and quantifies methane leaks usi…
View article: Integration and evaluation of the high-precision MotionCam-3D into a 3D thermography system
Integration and evaluation of the high-precision MotionCam-3D into a 3D thermography system Open
Infrared thermal imaging enables fast, accurate and non-contact measurement of temperature distributions. However, 2D representations of 3D objects often require several images to provide significant information. For such cases, 3D thermog…
View article: Data-driven prediction of the surface layer state in hard-turning for optimization of component quality
Data-driven prediction of the surface layer state in hard-turning for optimization of component quality Open
Data-driven approaches are an effective solution for modeling problems in machining. To increase the service life of hard-turned components, it is important to quantify the correlation between the cutting parameters such as feed rate, cutt…
View article: Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties, and Curing Conditions
Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties, and Curing Conditions Open
Concrete, the second most consumed resource worldwide after water [1], plays a fundamental role in construction. However, modeling the production process of concrete is challenging due to the incompletely understood physical and chemical r…
View article: Spatio-temporal LPV model of 2D workpiece temperature for Direct Laser Deposition
Spatio-temporal LPV model of 2D workpiece temperature for Direct Laser Deposition Open
Additive manufacturing of metallic components presents challenges regarding quality assurance and consistency, owing to the workpiece's complex spatially-dependent temperature history and a lack of suitable models for closed-loop temperatu…
View article: Predicting the Compressive Strength of Concrete up to 28 Days-Ahead: Comparison of 16 Machine Learning Algori
Predicting the Compressive Strength of Concrete up to 28 Days-Ahead: Comparison of 16 Machine Learning Algori Open
Concrete is the most important and widely consumed construction material. Concrete parts are produced by a mixing process, followed by casting and a certain curing time. To assess the quality of concrete, its compressive strength is usuall…
View article: Predicting the Compressive Strength of Concrete up to 28 Days-Ahead: Comparison of 16 Machine Learning Algorithms on Benchmark Datasets
Predicting the Compressive Strength of Concrete up to 28 Days-Ahead: Comparison of 16 Machine Learning Algorithms on Benchmark Datasets Open
Concrete is the most important and widely consumed construction material. Concrete parts are produced by a mixing process, followed by casting and a certain curing time. To assess the quality of concrete, its compressive strength is usuall…
View article: Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modeling
Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modeling Open
To reduce production time and decrease production cost, the increase of layer thickness is an adequate option in powder bed fusion. In order to determine the relationships between process parameters in laser powder bed fusion (PBF-LB/M) an…
View article: Method and experimental investigation of surface heat dissipation measurement using 3D thermography
Method and experimental investigation of surface heat dissipation measurement using 3D thermography Open
Three-dimensional thermography describes the fusion of geometry- and temperature-related sensor data. In the resulting 3D thermogram, thermal and spatial information of the measured object is available in one single model. Besides the simp…
View article: Identification of a Spatio-Temporal Temperature Model for Laser Metal Deposition
Identification of a Spatio-Temporal Temperature Model for Laser Metal Deposition Open
Laser-based additive manufacturing enables the production of complex geometries via layer-wise cladding. Laser metal deposition (LMD) uses a scanning laser source to fuse in situ deposited metal powder layer by layer. However, due to the e…
View article: On Optimal Test Signal Design and Parameter Identification Schemes for Dynamic Takagi-Sugeno Fuzzy Models Using the Fisher Information Matrix
On Optimal Test Signal Design and Parameter Identification Schemes for Dynamic Takagi-Sugeno Fuzzy Models Using the Fisher Information Matrix Open
This paper is concerned with the analysis of optimization procedures for optimal experiment design for locally affine Takagi-Sugeno (TS) fuzzy models based on the Fisher Information Matrix (FIM). The FIM is used to estimate the covariance …
View article: Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras
Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras Open
The geometric calibration of cameras becomes necessary when images should be undistorted, geometric image information is needed or data from more than one camera have to be fused. This process is often done using a target with a checkerboa…
View article: Prediction of near surface residual stress states for hard turned specimens using data driven nonlinear models
Prediction of near surface residual stress states for hard turned specimens using data driven nonlinear models Open
Advantageous near surface residual stress states, being of crucial importance for performance of components, can already be established by adequate machining strategies avoiding cost intensive post treatments. In the present work, residual…
View article: On data-driven nonlinear uncertainty modeling: Methods and application for control-oriented surface condition prediction in hard turning
On data-driven nonlinear uncertainty modeling: Methods and application for control-oriented surface condition prediction in hard turning Open
In this article, two data-driven modeling approaches are investigated, which allow an explicit modeling of uncertainty. For this purpose, parametric Takagi-Sugeno multi-models with bounded-error parameter estimation and nonparametric Gauss…
View article: On the vanishing and exploding gradient problem in Gated Recurrent Units
On the vanishing and exploding gradient problem in Gated Recurrent Units Open
Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are h…
View article: On considering the output in space-filling test signal designs for the identification of dynamic Takagi-Sugeno models
On considering the output in space-filling test signal designs for the identification of dynamic Takagi-Sugeno models Open
The model-based design of test signals for the identification of dynamical Takagi-Sugeno (TS) fuzzy models is addressed. The multi-model structure is exploited to reduce computational cost. Space-filling designs usually only address the in…
View article: Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno Models
Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno Models Open
In this paper, the problem of order selection for nonlinear dynamical Takagi-Sugeno (TS) fuzzy models is adressed. It is solved by reformulating the TS model in its Linear Parameter Varying (LPV) form and applying an extension of a recentl…
View article: Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV Techniques
Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV Techniques Open
In this paper the problem of order selection for nonlinear dynamical Takagi-Sugeno (TS) fuzzy models is investigated. The problem is solved by formulating the TS model in its Linear Parameter Varying (LPV) form and applying a recently prop…
View article: Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty
Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty Open
In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows …
View article: An extension to RPCA parameter selection and process monitoring
An extension to RPCA parameter selection and process monitoring Open
Multivariate Statistical Process Control (MSPC) techniques such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) have found wide application especially in the statistical modeling and monitoring of chemical processes. …
View article: On the performance of different mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems
On the performance of different mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems Open
The performance of different mutation operators is usually evaluated in conjunc-tion with specific parameter settings of genetic algorithms and target problems. Most studies focus on the classical genetic algorithm with different parameter…