Model-Based State Estimation for the Diagnosis of Multiple Faults in Non-linear Electro-Mechanical Systems
This paper presents a framework for the condition monitoring of large non-linear electro-mechanical systems. Faults are assessed in different subsystems by means of joint state-parameter estimations. The different estimations are interconnected by a Digital Twin of the system, which provides background information for the physics neglected in the estimation models. In addition, the Digital Twin provides a benchmark for the estimations, which allows identifying the location and extend of faults. As application case, the condition of the guiding system and the electric machine of a vertical transportation system are evaluated. For this purpose, a scaled test bench of the vertical transportation system is used, showing the potential of this approach in the condition monitoring of complex industrial systems.
KeywordsState estimation Modeling Virtual sensing Digital Twin
The authors gratefully acknowledge the European Commission for its support of the Marie-Sklodowska Curie program through the ITN ANTARES project (GA 606817) and the support from the KU Leuven research fund.
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