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Citation link: https://doi.org/10.26092/elib/3196

Publisher DOI: https://doi.org/10.1016/j.cirp.2013.03.130
Tracht et al_Failure probability prediction based on condition monitoring data of wind energy_2013_accepted-version.pdf
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Failure probability prediction based on condition monitoring data of wind energy systems for spare parts supply


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Tracht et al_Failure probability prediction based on condition monitoring data of wind energy_2013_accepted-version.pdf1.91 MBAdobe PDFView/Open
Authors: Tracht, Kirsten  
Goch, Gert 
Schuh, Peter 
Sorg, Michael  
Westerkamp, Jan F. 
Abstract: 
The feasibility of maintenance processes relies on the availability of spare parts. Spare part inventory planning is capital intensive. It is based on demand forecasting, which possesses a high potential in reducing inventories. Even if condition monitoring systems are installed in technical systems, condition monitoring information is barely used to predict the failure probability of units. Therefore, an enhanced forecast model, which integrates SCADA information, has been developed. This leads to more accurate spare part demand forecasts. The approach presented in the paper is based on data mining, the proportional hazards model (PHM) and a binomial distribution. It has been validated with maintenance data of wind energy systems.
Keywords: Maintenance; Predictive model; Reliability
Issue Date: 28-Apr-2013
Publisher: Elsevier Science
Journal/Edited collection: CIRP Annals 
Issue: 1
Start page: 127
End page: 130
Volume: 62
Type: Artikel/Aufsatz
ISSN: 0007-8506
Secondary publication: yes
Document version: Postprint
DOI: 10.26092/elib/3196
URN: urn:nbn:de:gbv:46-elib81629
Institution: Universität Bremen 
Faculty: Bremer Institut für Strukturmechanik und Produktionsanlagen (bime) 
Appears in Collections:Forschungsdokumente

  

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