مجال
التميز
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تميز دراسي وبحثي
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البحوث المنشورة
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البحث (1):
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عنوان البحث:
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Nonparametric predictive inference for
failure times of systems with exchangeable components
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رابط إلى البحث:
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click
here
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تاريخ النشر:
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20/06/2014
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موجز عن البحث:
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The theory of system signatures (Samaniego,
2007) provides a powerful framework for reliability assessment for systems
consisting of exchangeable components. For a system with m components, the
signature is a vector containing the probabilities for the events that the
system fails at the moment of the jth ordered component failure time, for all
j=1,., m. As such, the signature represents the structure of the system. This
paper presents how signatures can be used within nonparametric predictive
inference, a statistical framework which uses few modelling assumptions
enabled by the use of lower and upper probabilities to quantify uncertainty. The
main result is the use of signatures to derive lower and upper survival
functions for the failure time of systems with exchangeable components, given
failure times of tested components that are exchangeable with those in the
system. In addition, it is shown how the failure times of two such systems
can be compared. This paper is the first in which signatures are combined with
theory of lower and upper probabilities; related research challenges are
briefly discussed.
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البحث (2):
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عنوان البحث:
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Nonparametric
predictive inference for system failure time based on bounds for the
signature.
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رابط إلى البحث:
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click here
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تاريخ النشر:
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08/05/2013
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موجز عن البحث:
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System
signatures provide a powerful framework for reliability assessment for
systems consisting of exchangeable components. The use of signatures in
nonparametric predictive inference has been presented and leads to lower and
upper survival functions for the system failure time, given failure times of
tested components. However, deriving the system signature is computationally
complex. This article presents how limited information about the signature
can be used to derive bounds on such lower and upper survival functions and
related inferences. If such bounds are sufficiently decisive they also
indicate that more detailed computation of the system signature is not required.
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البحث (3):
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عنوان البحث:
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Nonparametric
predictive inference for system reliability using the survival signature.
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رابط إلى البحث:
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click here
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تاريخ النشر:
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14/05/2014
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موجز عن البحث:
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The
survival signature has recently been presented as an attractive concept to
aid quantification of system reliability. It has similar characteristics as
the system signature, which is well established, but contrary to the latter
it is easily applicable to systems with multiple types of components. We
present an introductory overview of the survival signature together with new
results to aid computation. We develop nonparametric predictive inference for
system reliability using the survival signature. The focus is on the failure
time of a system, given failure times of tested components of the same types
as used in the system
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المؤتمرات العلمية:
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المؤتمر (1):
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عنوان المؤتمر:
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19th ARTS
Advances in Risk and Reliability Technology Symposium.
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تاريخ الإنعقاد:
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14/04/2011
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مكان
الإنعقاد:
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Stratford-upon-Avon, UK
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طبيعة المشاركة:
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Poster presentation
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عنوان المشاركة:
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Nonparametric predictive inference for
failure times of systems consisting of exchangeable components.
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ملخص المشاركة:
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The theory of system signatures [5] provides
a powerful framework for reliability assessment for systems consisting of
exchangeable components. This paper presents how signatures can be used
within nonparametric predictive inference to derive lower and upper survival
functions for the failure time of such systems, given failure times of tested
components, and to compare the reliability of two such systems.
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المؤتمر (2):
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عنوان المؤتمر:
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19th ARTS
Advances in Risk and Reliability Technology Symposium.
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تاريخ الإنعقاد:
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12/04/2011
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مكان
الإنعقاد:
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Stratford-upon-Avon, UK
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طبيعة المشاركة:
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Presentation of a paper
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عنوان المشاركة:
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Nonparametric predictive inference for
failure times of systems consisting of exchangeable components.
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ملخص المشاركة:
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The theory of system signatures [5] provides
a powerful framework for reliability assessment for systems consisting of
exchangeable components. This paper presents how signatures can be used
within nonparametric predictive inference to derive lower and upper survival
functions for the failure time of such systems, given failure times of tested
components, and to compare the reliability of two such systems.
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المؤتمر (3):
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عنوان المؤتمر:
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Statistical Models and Methods for
Reliability and Survival Analysis and Their Validation, V. Couallier, L.
Gerville Reache
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تاريخ الإنعقاد:
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07/07/2014
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مكان
الإنعقاد:
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Bordeaux, France
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طبيعة المشاركة:
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Paper presentation
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عنوان المشاركة:
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Nonparametric prediction of system failure
time using partially known signatures.
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ملخص المشاركة:
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System signatures provide a powerful
framework for reliability assessment for systems consisting of exchangeable components.
The use of signatures in nonparametric predictive inference has been
presented and leads to lower and upper survival functions for the system
failure time, given failure times of tested components. However, deriving the
system signature is computationally complex. This paper presents how limited information
about the signature can be used to derive bounds on such lower and upper
survival functions and related inferences.
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المؤتمر (4):
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عنوان المؤتمر:
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Advances
in Risk and Reliability Technology Symposium.
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تاريخ الإنعقاد:
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01/05/2013
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مكان
الإنعقاد:
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Loughborough,
UK
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طبيعة المشاركة:
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Paper
presentation
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عنوان المشاركة:
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Recent
advances in system reliability using the survival signature.
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ملخص المشاركة:
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The theory of system signatures provides a
powerful framework for reliability assessment for systems consisting of
exchangeable components. However, its generalization to systems with multiple
types of components is very complicated, if not impossible. Recently, we have
introduced the concept of `survival signatures’ as an attractive and more
powerful alternative. For systems with single types of components, the
survival signatures are closely related to the signatures. However, the
generalization to systems with multiple types of components is conceptually straightforward
for survival signatures. In this paper, we give an introductory overview of
survival signatures, explaining their use in reliability quanti_cation. In
addition, we present how survival signatures of subsystems can be combined to
derive a system’s survival signature, and we show how survival signatures
change in case of replacement of a component. Finally, we briey discuss some
related research challenges.
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