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, Volume 11, Issue 4, pp 48–53 | Cite as

State-based Maintenance of Mobile Work Machines

  • Thomas Lebendt
  • Robert Mollik
  • Ingo Friedrich
  • Sebastian Elegti
Development Simulation

Increasing performance in data centers and embedded systems, combined with almost universal availability of fast cellular communication networks, creates new ways of running mobile machines efficiently and quickly detecting component failure. IAV has used the possibilities of modern information technology for extended diagnostics of powertrain components and subsystems.

Intelligent Maintenance Strategies

The state of a machine, its subsystems and components has to be measured and evaluated partially as a statutory requirement, but this information can also be useful in other ways. On-board Diagnostic (OBD) requirements are implemented in the engine control unit as an analysis function, in the form of statistical and physical models. These algorithms run in the engine control unit in real time and are an important source of information for evaluating the machine state. Embedded algorithms can only analyze one individual machine in the field, whereas the centralized acquisition of...

References

  1. [1]
    Lebendt, T.; Friedrich, I.; Elegit, S.: Intelligent Data Analysis for Advanced Diagnostics. Conference Predictive Maintenance in der Fertigung, Braunschweig, 2018Google Scholar
  2. [2]
    Decker, M.: Körperschallbasiertes Motormanagement für PKW-Dieselmotoren. Berlin, Technical University, dissertation, 2014Google Scholar
  3. [3]
    Schneider, S.; Carstens, J. H.; Nobis, J.; Joerres, M.: Structure-borne Noise Based Diesel Engine Control. In: MTZworldwide 78 (2017), No. 11, pp. 80–85Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018

Authors and Affiliations

  • Thomas Lebendt
    • 1
  • Robert Mollik
    • 1
  • Ingo Friedrich
    • 1
  • Sebastian Elegti
    • 1
  1. 1.Powertrain Electronics Commercial VehicleIAVBerlinGermany

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