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http://dx.doi.org/10.7467/KSAE.2012.20.2.001

A Development of a Reliability Prediction Program Using the Field Failure  

Baek, Jae-Jin (Department of Safety Engineering, University of Wuppertal)
Rhie, Kwang-Won (Department of Safety and Health Engineering, University of Hoseo)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.20, no.2, 2012 , pp. 1-7 More about this Journal
Abstract
A Failure data from operating condition includes various failures. Reliability evaluation by operating condition is more correct than test condition. Additional, the evaluation result by operating condition is widely used for quality assurance, forecasting amount of manufacturing at EOL. To discover valuable things from the failure data, arrangement of the failure data and information technique to handle data is needed among many failure data. This paper introduces a reliability prediction program to solve this problem based on the failure. And new technologies for parameters estimation with method of Graphic-Wizard-Parameters-Estimation and Genetic Algorithm are introduced.
Keywords
Reliability prediction; Reliability theory; Warranty data; GWPE; Genetic algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 D. Althaus, A. Braasch, M. Schlummer and A. Meyna, "Comparison of the Failure Behaviour of the Same Function in Different," Taylor&Francis Group, New York, pp.1549-1553, 2010.
2 Sybase Power Builder 11.0 Desktop Version.
3 Wolfram Research Mathematica 7.0.
4 Microsoft Windows.
5 J. Baek, K. Rhie and A. Meyna, "A Study on Reliability Prognosis Based on Censored Failure Data," Transactions of KSAE, Vol.18, No.1, pp.31-36, 2010.
6 A. Meyna and B. Pauli, Taschenbuch der Zuver-lassigkeits-und Sicherheitstechnik, Carl Hanser Verlag, Munchen, 2003.
7 B. Pauli, Zuverlassigkeitsprognose fur Eletronische Steuergerate im Kraftfahrzeug, Shaker Verlag, Germany, 1998.
8 C. Hwang, K. Jun, J. Yoon, T. Park, S. Kim, and K. Yi, "Development of a Fatigue Life Prediction Program for the Hub Bearing Unit," Transactions of KSAE, Vol.13, No.5, pp.142-151, 2005.
9 N. Henze, Stochastik fur Einsteiger, Vieweg, Germany, pp.211-232, 2008.
10 J. Hauschild, A. Braasch and A. Kazeminia, Reliability Prediction for Automotive Components Using Real-parameter Genetic Algorithm, Taylor &Francis Group, New York, 2008.
11 A. Braasch, D. Althaus, J.-J. Baek and A. Meyna, "Importance of Regarding the Field Failure Behaviour of Automotive Components," Taylor&Francis Group, New York, pp.887-832, 2010.