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Integration of Operational Data into Maintenance Planning

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Through-life Engineering Services

Part of the book series: Decision Engineering ((DECENGIN))

Abstract

In machines a broad range of operational and failure information, like hours of operation, temperatures of components or information about surrounding conditions are available. However, this information is barely used for failure prediction or maintenance planning. At the same time, product life cycles shorten and machine variants increase, making estimation of replacement instances challenging. Stochastic models offer the opportunity of integrating operational and failure information and thereby utilize them for more accurate planning. Within this chapter, a literature overview about existing stochastic prognosis methods and an approach for cost minimal replacement are presented. Within that method data pre-processing, interpretation and utilizing takes place. It can be applied to any system exposed to mechanical wear. The novel planning approach is applied to wind energy turbine data and verified by comparison to established methods.

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Acknowledgments

The results presented were developed in the research project “Service logistics for wind turbines” funded by the German Federal Ministry of Economics and Technology (BMWI), Industrial Collective Research for SMEs (AiF), Bundesvereinigung Logistik e.V. (BVL).

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Authors and Affiliations

  1. Bremen Institute for Mechanical Engineering (BIME), University of Bremen, Badgasteiner Straße 1, 28359, Bremen, Germany

    Peter Schuh, Christian Perl & Kirsten Tracht

Authors
  1. Peter Schuh
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  2. Christian Perl
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  3. Kirsten Tracht
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Corresponding author

Correspondence to Peter Schuh .

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Editors and Affiliations

  1. EPSRC Centre for Innovative Manufacture in Through-life Engineering Services, Cranfield University, Cranfield, Bedfordshire, United Kingdom

    Louis Redding

  2. EPSRC Centre for Innovative Manufacture in Through-life Engineering Services, Cranfield University, Cranfield, Bedfordshire, United Kingdom

    Rajkumar Roy

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Schuh, P., Perl, C., Tracht, K. (2015). Integration of Operational Data into Maintenance Planning. In: Redding, L., Roy, R. (eds) Through-life Engineering Services. Decision Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-12111-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-12111-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12110-9

  • Online ISBN: 978-3-319-12111-6

  • eBook Packages: EngineeringEngineering (R0)

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