Project overview
Funded by the German Research Association (Deutsche Forschungsgemeinschaft, DFG):
DUNIS
Product development with sensor integrating machine elements – Managing uncertainty associated to in-situ acquired sensor data in mechatronic systems
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LagerImp
Operating condition-dependent model for describing the electrical impedance of rolling bearings for sensorial use
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MiMoSe
Microelectronic modular system for sensor-integrating machine elements
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SensoLag
Opportunities and limits of the working space model in product development
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SimS
Derivation of analysis- and synthesis-methods to manage uncertainty in the development of mechatronic systems with sensor integrating machine elements
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WälLagSchaden
Early damage detection on rolling bearings by electrical impedance measurement
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Funded by the Distr@l funding programme of the Hessian State Chancellery – Minister for Digital Strategy and Development:
ImpSpin
Development of a sensory spindle of machine tools based on the measurement of rolling bearing impedance
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TecCond
Technology Condition Monitoring: System for monitoring the real-time condition of technical systems
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