Knowledge Based Process Monitoring in Mass Production

  • G. Petuelli
  • G. Blum
Conference paper
Part of the Advanced Manufacturing book series (ADVMANUF)


In view of the fact that 60% to 80% of the factory and manufacturing costs are caused by the manufacturing process the need of cost reduction in production becomes obvious. Reliable manufacturing machines and their economic utilisation go together with the increase of product quality. Therefore the monitoring systems are mainly installed in order to increase the availability of production machines, to attain a high rate of utilisation, to assure quality of production and to protect machines against damages. Thus the demand for process monitoring systems in metal cutting processes is obvious [1].


Acoustic Emission Tool Wear Process Deterioration Process Degeneration Process Disturbance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Weck M, Innovative Fertigungssysteme - Changen und Herausforderungen. “Wettbewerbsfaktor Zeit in Produktionsunternehmen”, Springer-Verlag, Berlin, 1991Google Scholar
  2. 2.
    Schmitte F-J, Petuelli G, Blum G, Einsatz von Acoustic-Emission zur Prozeßüberwachung beim Bohren und Gewindefertigen. VDl-Berichte 1255, 1996, ISBN 3–18-091255–3, S. 253–258 Google Scholar
  3. 3.
    Langguth Th, Weber A, Werkzeug-Verschleiß und -Bruchüberwachung beim flexiblen Drehen, Bohren und Fräsen, Werkstatt und Betrieb 124 (1991) Google Scholar
  4. 4.
    Beil G, Heider W, Erhöhte Prozeßsicherheit durch Anschnitt- und Werkzeugbruchüberwachung, mav 10–1993, pp. 10–12 Google Scholar
  5. 5.
    Petuelli G, Blum G, Monitoring of Internal Thread Forming Processes in Mass Production. In:Proc. of the 3rd International Conference on Automation, Robotics and Computer Vision (ICARCV), Nanyang Technological University Singapore 1994, ISBN 981–00-5793–8, pp. 788–792.Google Scholar
  6. 6.
    Schmitte F-J, Welkner K, Petuelli G, BlumG, Methoden zur Online- Prozeßüberwachung in der Gewindefertigung, VDI-VDE Kongress “Meß- und Automatisierungstechnik” 18.-19.06.98 LudwigsburgGoogle Scholar
  7. 7.
    Nordmann K, Werkzeugüberwachung mit neuen Sensortechniken, VDI-Z Spezial Werkzeuge Aug. 1994, pp. 42–44Google Scholar
  8. 8.
    Artmeyer M, Lorenz RD, DeVries MF, Process Identification and Modelling Using Structured Topoligies of Artificial Neural Networks, VDI-Berichte 1179, 1995, pp. 127–140Google Scholar
  9. 9.
    Dornfeld DA, Monitoring Technologies for Intelligent Machining,VDI- Berichte 1179, 1995, pp. 71–90Google Scholar
  10. 10.
    Schmitte F-J, Petuelli G, Blum G, Gemke C, Prozeßüberwachung mit μC- basierter Merkmalsextraktion und wissensbasierter Fuzzy-Auswertung. In: Proc. of the Fuzzy Neuro-Systeme ’97 (FNS ‘97’), ISBN 3–89601-003–4, pp 269- 276Google Scholar
  11. 11.
    Kakade S, Vijayaraghavan L, Krishnamurthy R, Artificial Neural Network for Sensor Fusion and Tool Wear Estimation in Face Milling. In: Proc. of the 3 rd Intern. Conf On Computer Integrated Manufacturing (ICCIM/AUTOFACT-ASIA’95’), World Science Publishing 1995, ISBN 981–02-2376–5, pp. 1499–1506Google Scholar
  12. 12.
    NN, Überwachung nach Mass, Perfect Monitoring, Leaflet: Artis GmbH Bispingen-Behringen, 1996Google Scholar
  13. 13.
    NN, Brankamp C8060, Leaflet: Brankamp GmbH, Erkrath 1996Google Scholar
  14. 14.
    NN: PROMOS, Modulares Monitoring System, Leaflet:PROMETEC GmbH Aachen, 1998Google Scholar

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© Springer-Verlag London Limited 1999

Authors and Affiliations

  • G. Petuelli
  • G. Blum

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