Advanced Reliability Modeling: Proceedings of the 2004 Asian - download pdf or read online

By Tadashi Dohi, Won Young Yun

ISBN-10: 9812388710

ISBN-13: 9789812388711

ISBN-10: 9812702687

ISBN-13: 9789812702685

The 2004 Asian overseas Workshop on complex Reliability Modeling is a symposium for the dissemination of cutting-edge learn and the presentation of perform in reliability engineering and comparable matters in Asia. It brings jointly researchers, scientists and practitioners from Asian international locations to debate the nation of analysis and perform in facing reliability concerns on the process layout (modeling) point, and to together formulate an time table for destiny examine during this engineering region. The court cases conceal all of the key themes in reliability, maintainability and safeguard engineering, offering an in-depth presentation of conception and perform.

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Extra resources for Advanced Reliability Modeling: Proceedings of the 2004 Asian International Workshop (AIWARM 2004), Hiroshima, Japan, 26 - 27 August 2004

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Non-homogeneous Poisson Process Models Let X ( t ) be a stochastic process and denote the number of software faults detected up to time t. The stochastic process X ( t ) is said the NHPP if the probability mass function is given by where A(t) = E [ X ( t ) ]is the mean value function and E denotes the mathematical expectation operator. Goel and Okumoto assume that the expected number of software faults detected per unit time is proportional to the expected number of 19 remaining faults. ‘That is, letting X(t> be the intensity function of the NHPP, it is assumed that X(t) = dh(t) - b{a - A(t)), dt where a (> 0) and b (> 0) are the expected initial number of software faults and the fault detection rate per unit time, respectively.

3) if e,,r i 0, check whether j exists that satisfies 0 5 j 5 m and ( c ~ +c:+~) +~ 5 ( n - k). if j exists, one redundant packet that is not sent yet is marked as the one going to be sent, increase c ; + ~by one, decrease ez,r by one, and repeats 3. , . , u i , k . p ~ , set ci to k c o t ( P F - l), and reset c: to c,. ( 5 ) repeat above 2 to 4 for all code groups, that is 1 5 i 5 L. (6) reset i to 1, and repeat above 2 to 5 for all receivers, that is 1 5 r 5 R. ( 7 ) send the packets that is going to be sent, and update ci according to the sent packets.

3-5, 9-12 and 14-16. Recently, there have been many researches on the shape of FRs of mixture distributions. For instance, in Refs. 1, 2 and 8, the shape of FRs of mixture distributions which is not of the typical DIB are investigated. Ref. 13 considered optimal burn-in under the assumption of eventually IFR. In this paper, we consider optimal burn-in under an initially decreasing or/and eventually increasing FR, which includes DIB F R as a special case. We derive a sharper upper bound for optimal burn-in than that obtained in Ref.

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Advanced Reliability Modeling: Proceedings of the 2004 Asian International Workshop (AIWARM 2004), Hiroshima, Japan, 26 - 27 August 2004 by Tadashi Dohi, Won Young Yun


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