Innovation Center ● Prof. Dr.-Ing. Clemens Gühmann
Electronic measurement and diagnostic technology
©TUBerlin-Christian Kielmann
DIRECTOR
Prof. Dr.-Ing. Clemens Gühmann
Berlin University of Technology
Institute for Energy and Automation Technology
Department of Electronic Measurement and Diagnostics
Einsteinufer 17
10587 Berlin
Phone +49 30 314 29393 oder +49 30 314 22280
Fax +49 30 314 257173
E-mail clemens.guehmann@tu-berlin.de
Short Vita
Professional background:
- since 2003 Professorship in the field of "Electronic Measurement and Diagnostic Technology" in the Faculty IV of Electrical Engineering and Computer Science at the Technical University of Berlin
- 1996 - 2003 Development engineer at Ingenieurgesellschaft Auto und Verkehr - IAV GmbH, most recently head of department in the transmission systems division
- 1994 - 1995 Development engineer in the Whirlpool Group (Bauknecht)
- 1995 Doctorate - Diagnosis of electrical machines
- 1989 - 1994 Scientific assistant at the Institute for General Electrical Engineering (Measurement Technology Department) at the Technical University of Berlin
- 1989 Diploma in Electrical Engineering at the Technical University of Berlin, majoring in measurement and control technology
Research and development
- Modern methods of measurement data processing e.g. denoising with wavelets, spectral analysis, digital filtering or feature finding in MATLAB and Python.
- Modeling of mechatronic systems for diagnosis for the fault-free and faulty case- fault modeling.
- Application and further development of neural networks for fault diagnosis with physical a priori knowledge.
- Identification of nonlinear systems
- Development of virtual sensors
Expertise
- Development of data-based diagnostic systems with statistical methods and neural networks
- Development of physics-based diagnostic systems
- Prediction models for estimating the remaining service life of mechatronic systems
- Concepts for measurement data acquisition - from the sensor to the processing of signals
- Development and application of modern methods of digital measurement data processing
- Modeling and simulation of mechatronic systems with Modelica, MapleSim and Simulink
Reference projects
- BerDiBa - Berlin Digital Railway Operation. Focuses: Simulation of train operation, prediction of maintenance needs and adaptive state models for infrastructure components - vegetation and clearance profile.
- SiCWell - Influence of SiC inverters on the lifetime of traction batteries, BMBF
- Lifetime and reliability models for automotive friction clutches for control and regulation, IAV.
- StreetProbe - Cooperative cloud-based road condition monitoring, BMWi
- Bearing arrangement in rotating systems (LAROS), condition monitoring of plain bearings, Rolls-Royce
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