Fuzzy Control pp 397-405 | Cite as

Application of the FSOM to Machine Vibration Monitoring

  • Ingo Jossa
  • Uwe Marschner
  • Wolf-Joachim Fischer
Part of the Advances in Soft Computing book series (AINSC, volume 6)


In this paper we are describing the application of the Fuzzy Self-Organizing Map (FSOM) and some feature extraction methods to a intelligent microsystem for online machine vibration monitoring. We have developed such a microsystem with some of the most advanced semiconductor and microsystem technologies. On the basis of these technologies it is possible to perform the complete condition monitoring and diagnosis stage directly in the microsystem which is applied to a observed machine.


Vibration Signal Feature Extraction Method Winner Neuron Quartile Range Time Frequency Plane 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Ingo Jossa
    • 1
  • Uwe Marschner
    • 1
  • Wolf-Joachim Fischer
    • 1
  1. 1.Semiconductor and Microsystems Technology LaboratoryDresden University of TechnologyDresdenGermany

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