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Model-Based State Estimation for the Diagnosis of Multiple Faults in Non-linear Electro-Mechanical Systems

  • Mikel GonzalezEmail author
  • Oscar Salgado
  • Jan Croes
  • Bert Pluymers
  • Wim Desmet
Conference paper
Part of the Applied Condition Monitoring book series (ACM, volume 15)

Abstract

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.

Keywords

State estimation Modeling Virtual sensing Digital Twin 

Notes

Acknowledgments

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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mikel Gonzalez
    • 1
    • 2
    Email author
  • Oscar Salgado
    • 1
  • Jan Croes
    • 2
    • 3
  • Bert Pluymers
    • 2
    • 3
  • Wim Desmet
    • 2
    • 3
  1. 1.IK4-Ikerlan Technology Research Center, Control and Monitoring AreaMondragónSpain
  2. 2.Department of Mechanical EngineeringKU LeuvenHeverleeBelgium
  3. 3.DMMS lab, Flanders MakeLommelBelgium

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