Prof. Dr. Markus Kley

Room

104

Telephone

+49 7361 576-2377

Email Address

Markus.Kley[at]hs-aalen.de

resumé
Research Projects
Publications

Telephone

+49 7361 576-2377

Room

104

Email Address

Markus.Kley[at]hs-aalen.de

1998 - today Appointment funding for professors; appointment funds

Development of a condition monitoring system for industrial gearboxes to extend gearbox service life

Development of methods for evaluating measurement data and for modeling a bearing test bench

Development of the method for the evaluation of process parameters and measurement data and for damage classification

Development of an accelerated carbon run-in process and test cycles for electric motors

Algorithms and methods for measurement data acquisition, preparation and processing

Operational strategy development of a decision model based on the commitment of parameters for target/actual monitoring with subsequent integration of the system into real production

Acoustic and optical process analysis and evaluation as well as process modeling with machine learning

Design, Simulation, material and system analysis, manufacturing processes and testing of a rolling bearing technology with structurally modular bearing elements

Sensor integration in rotary unions and data analysis for the implementation of predictive maintenance

Inspire: Operational strategy design, control development and design, draft of the systemic integration of the transmission in off-highway vehicles and operational testing

Cooperative graduate school: PROMISE 4.0 - Intelligent PROduction systems and methods in the context of InduStriE 4.0 for SMEs

Muffle+: Intelligent (hybrid) electric drive platform

Smart Bearing: Miniaturized and highly integrated intelligent slewing ring for use in human-robot cooperation systems; sensor and drive integration for miniaturized slewing rings

Development of a multifunctional monitoring technology for track rollers and complex assemblies in cam-controlled production systems for the early detection of bearing damage

Lennart Kopp, Patrick Harfmann, Akash Mangaluru Ramananda, Markus Kley ISSN: 3091-3306, URN: urn:nbn:de:bsz:944-opus4-92051,

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Patrick Harfmann, Lennart Kopp, Akash Mangaluru Ramananda, Marcus Liebschner, Markus Kley ISSN: 3091-3306,

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Timo König, Akash Mangaluru Ramananda, Fabian Wagner, Markus Kley, Marcus Liebschner ISSN: 1877-0509,

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Lennart Kopp, Lukas Steidle, Jan-Niklas Molan, Markus Kley ISSN: 1530-437X,

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Daniel Proksch, Tobit Salat, Lennart Kopp, Jens Krotsch, Markus Kley ISSN: 1530-437X,

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Akash Mangaluru-Ramananda, Niels Ockert, Patrick Harfmann, Areeb Ansari, Holger Zinke, Tim Dahmen, Markus Kley ISSN: 1877-0509,

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Artificial Intelligence & Computer Science Bachelor Artificial Intelligence & Data Science

Prof. Dr. Markus Kley

resumé

Research Award of the Aalen University of Applied Sciences

Prof. Dr.-Ing., Aalen University of Applied Sciences, Construction

Head /Director School of Engineering Engine Components

Dr.-Ing., University of Stuttgart

Project manager, project coordinator, head of the project Voith Turbo

Dipl.-Ing., University of Stuttgart

M.Sc. Georgia Department, Institute of Technology, USA

Research Projects

Development of a condition monitoring system for industrial gearboxes to extend gearbox service life

Development of methods for evaluating measurement data and for modeling a bearing test bench

Development of the method for the evaluation of process parameters and measurement data and for damage classification

Development of an accelerated carbon run-in process and test cycles for electric motors

Algorithms and methods for measurement data acquisition, preparation and processing

Operational strategy development of a decision model based on the commitment of parameters for target/actual monitoring with subsequent integration of the system into real production

Acoustic and optical process analysis and evaluation as well as process modeling with machine learning

Design, Simulation, material and system analysis, manufacturing processes and testing of a rolling bearing technology with structurally modular bearing elements

Sensor integration in rotary unions and data analysis for the implementation of predictive maintenance

Inspire: Operational strategy design, control development and design, draft of the systemic integration of the transmission in off-highway vehicles and operational testing

Cooperative graduate school: PROMISE 4.0 - Intelligent PROduction systems and methods in the context of InduStriE 4.0 for SMEs

Muffle+: Intelligent (hybrid) electric drive platform

Smart Bearing: Miniaturized and highly integrated intelligent slewing ring for use in human-robot cooperation systems; sensor and drive integration for miniaturized slewing rings

Development of a multifunctional monitoring technology for track rollers and complex assemblies in cam-controlled production systems for the early detection of bearing damage

Publications

Digital twins in engineering

Enhanced methodology of parameter diagram for system analysis and sensor integration in condition monitoring

Comparison of Conditional and Non-Conditional Data Augmentation Approaches with Generative Adversarial Networks

Development and Discussion of a Virtual Sensor for Stationary Torque Prediction in Electric Machines

Development of a Noncontact Measurement Setup for the Evaluation of Bearing Voltages

Efficient Operation Definition for Screw Compressors with Sensor Configuration and Feature Engineering Techniques