Statistical modelling of aeronautical turboshaft engines ageing from field and repair data feedback including preventive maintenance
被引:0
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作者:
Billon, A.
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机构:
Turbomeca, Bordes, FranceTurbomeca, Bordes, France
Billon, A.
[1
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Darfeuil, P.
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机构:
Turbomeca, Bordes, FranceTurbomeca, Bordes, France
Darfeuil, P.
[1
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Humbert, S.
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机构:
Turbomeca, Bordes, FranceTurbomeca, Bordes, France
Humbert, S.
[1
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Bordes, L.
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机构:
Univ Pau & Pays Adour, Pau, FranceTurbomeca, Bordes, France
Bordes, L.
[2
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Paroissin, C.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Pau & Pays Adour, Pau, FranceTurbomeca, Bordes, France
Paroissin, C.
[2
]
机构:
[1] Turbomeca, Bordes, France
[2] Univ Pau & Pays Adour, Pau, France
来源:
ADVANCES IN SAFETY, RELIABILITY AND RISK MANAGEMENT
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2012年
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中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
The aim of our studies is to propose a statistical model of turboshaft engines ageing behaviour in order to improve the reliability level assessment. Field and repair data feedback are used to fit our model. This model takes into account components whose failure mechanisms are in competition with respect to a final event and scheduled maintenance policy. We want to estimate reliability of the main engine components and, for instance, optimize the preventive maintenance policy. The main objective of this article is to develop a methodology that allows studying the impact of scheduled maintenance policy on one component reliability.