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Enhanced efficiency prediction of an electrified off-highway vehicle transmission utilizing machine learning methods

Procedia computer science, 2021, Vol.192, p.417-426

2021

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BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING

Applied Computer Science (Lublin), 2021-12, Vol.17 (4), p.5-19

2021

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Optimierung der Sensorpositionierung bei schwingungsbasierter Wälzlagerzustandsüberwachung unter Einbezug von Systemeigenmoden

Technisches Messen, 2021-11, Vol.88 (11), p.674-685

2021

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A software framework for virtual testing of a production control system

Procedia computer science, 2023, Vol.225, p.1495-1503

2023

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Comparison of envelope demodulation methods in the analysis of rolling bearing damage

Journal of vibration and control, 2023-11, Vol.29 (21-22), p.5009-5020

2023

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Optimierung der Sensorpositionierung bei schwingungsbasierter Wälzlagerzustandsüberwachung unter Einbezug von Systemeigenmoden

Technisches Messen, 2021-11, Vol.88 (11), p.674-685

2021

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Classification of load and rotational speed at wire-race bearings using Convolutional Neural Networks with vibration spectrograms

Technisches Messen, 2022-05, Vol.89 (5), p.352-362

2022

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A generative adversarial network-based data augmentation approach with transient vibration data

Procedia computer science, 2023, Vol.225, p.1340-1349

2023

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Augmented mel-spectrogram VGG-16 model for axial and radial load classification at wire-race bearings

Technisches Messen, 2022-09, Vol.89 (9), p.573-579

2022

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How shifting to cloud services changes employees' skills at small and medium-sized IT service providers: Perspectives from IT managers in Germany and Austria

International journal of business information systems, 2023, Vol.1 (1)

2023

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Substitution determination of Fmoc‐substituted resins at different wavelengths

Journal of peptide science, 2017-10, Vol.23 (10), p.757-762

2017

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BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING

Applied Computer Science (Lublin), 2021-12, Vol.17 (4), p.5-19

2021

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Quality analysis for condition monitoring of a manufacturing process integrating acoustic processing based on three distinct ML algorithms

Technisches Messen, 2022-11, Vol.89 (11), p.779-795

2022

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Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks

Procedia computer science, 2022, Vol.207, p.634-643

2022

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Bubble Size Detection by Process Ancillaries

Chemie ingenieur technik, 2022-08, Vol.94 (8), p.1096-1104

2022

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Synthetic data generation of vibration signals at different speed and load conditions of transmissions utilizing generative adversarial networks

Technisches Messen, 2023-10, Vol.90 (10), p.639-649

2023

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Generation of reproducible and scalable local damage to rolling bearings for the development of condition monitoring systems through the use of laser technology

Technisches Messen, 2022-11, Vol.89 (11), p.810-821

2022

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Enhanced damage classification accuracy on a transmission by extending existing datasets with generative adversarial networks

Forschung im Ingenieurwesen, 2023-06, Vol.87 (2), p.757-766

2023

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Improved design of experiments method for machine-learning-based modelling of gearbox efficiency in a test rig environment

Procedia computer science, 2022, Vol.207, p.1124-1133

2022

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A concept for comparison of new and aged lubricants in transmissions of electric vehicles and a method of oil aging on a test rig

Forschung im Ingenieurwesen, 2023-09, Vol.87 (3), p.1069-1080

2023

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Driveline Simulation of 2013 Formula Student Electric Racing Vehicle

Applied Mechanics and Materials, 2014-03, Vol.541-542 (Engineering and Manufacturing Technologies), p.424-429

2014

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THE COMPACT STEAM TURBINE –A NOVEL APPROACH TO SMALL SCALE COMBINED HEAT AND POWER GENERATION

Frontiers in heat pipes, 2013-09, Vol.4 (2)

2013

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Development of a Digital Twin for an Induction Motor Bearing Voltage Simulation

2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2021, p.103-107

2021

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Development of dispersion curves for two-layered cylinders using laser ultrasonics

The Journal of the Acoustical Society of America, 1999-08, Vol.106 (2), p.582-588

1999

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Turbo-Compound-Systeme an Nutzfahrzeugmotoren – Anforderungen, Nutzen und innovative Lösungsansätze

Internationaler Motorenkongress 2014, 2014, p.403-415

2014

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Enhanced efficiency prediction of an electrified off-highway vehicle transmission utilizing machine learning methods

BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING

Optimierung der Sensorpositionierung bei schwingungsbasierter Wälzlagerzustandsüberwachung unter Einbezug von Systemeigenmoden

A software framework for virtual testing of a production control system

Comparison of envelope demodulation methods in the analysis of rolling bearing damage

Optimierung der Sensorpositionierung bei schwingungsbasierter Wälzlagerzustandsüberwachung unter Einbezug von Systemeigenmoden

Classification of load and rotational speed at wire-race bearings using Convolutional Neural Networks with vibration spectrograms

A generative adversarial network-based data augmentation approach with transient vibration data

Augmented mel-spectrogram VGG-16 model for axial and radial load classification at wire-race bearings

How shifting to cloud services changes employees' skills at small and medium-sized IT service providers: Perspectives from IT managers in Germany and Austria

Substitution determination of Fmoc‐substituted resins at different wavelengths

BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING

Quality analysis for condition monitoring of a manufacturing process integrating acoustic processing based on three distinct ML algorithms

Generation of synthetic data with low-dimensional features for condition monitoring utilizing Generative Adversarial Networks

Bubble Size Detection by Process Ancillaries

Synthetic data generation of vibration signals at different speed and load conditions of transmissions utilizing generative adversarial networks

Generation of reproducible and scalable local damage to rolling bearings for the development of condition monitoring systems through the use of laser technology

Enhanced damage classification accuracy on a transmission by extending existing datasets with generative adversarial networks

Improved design of experiments method for machine-learning-based modelling of gearbox efficiency in a test rig environment

A concept for comparison of new and aged lubricants in transmissions of electric vehicles and a method of oil aging on a test rig

Driveline Simulation of 2013 Formula Student Electric Racing Vehicle

THE COMPACT STEAM TURBINE –A NOVEL APPROACH TO SMALL SCALE COMBINED HEAT AND POWER GENERATION

Development of a Digital Twin for an Induction Motor Bearing Voltage Simulation

Development of dispersion curves for two-layered cylinders using laser ultrasonics

Turbo-Compound-Systeme an Nutzfahrzeugmotoren – Anforderungen, Nutzen und innovative Lösungsansätze

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