A novel approach based on meta-modeling technique and time transformation function for reliability analysis of upgraded automotive components
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DOI: 10.1016/j.ress.2020.107357
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References listed on IDEAS
- Bichon, Barron J. & McFarland, John M. & Mahadevan, Sankaran, 2011. "Efficient surrogate models for reliability analysis of systems with multiple failure modes," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1386-1395.
- Ahmed, Hussam & Chateauneuf, Alaa, 2014. "Optimal number of tests to achieve and validate product reliability," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 242-250.
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Cited by:
- Xu, Yanwen & Kohtz, Sara & Boakye, Jessica & Gardoni, Paolo & Wang, Pingfeng, 2023. "Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
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Keywords
Early reliability analysis; Dimensional decomposition method; Monte-Carlo simulations; Time transformation function; Accelerated lifetime testing; Automotive components;All these keywords.
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