Relevant bibliographies by topics / Weighted k-out-of-n systems

Academic literature on the topic 'Weighted k-out-of-n systems'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Weighted k-out-of-n systems"

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LI, WEI, MING J. ZUO, and YI DING. "OPTIMAL DESIGN OF BINARY WEIGHTED k-OUT-OF-n SYSTEMS." International Journal of Reliability, Quality and Safety Engineering 15, no. 05 (October 2008): 425–40. http://dx.doi.org/10.1142/s0218539308003143.

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In this paper, we consider the optimal design of the binary weighted k-out-of-n system. The binary weighted k-out-of-n: G system works if and only if the total utility of all working components is at least k. In the design process, we need to evaluate system reliability repetitively. The universal generating function (UGF) approach is used for this purpose when the system size is small or moderate. When the size of the system is large, the recursive approach is used, which is more efficient. Two optimal models are formulated. One is to minimize the expected total cost while guaranteeing the system reliability higher than a pre-specified value; the other is to maximize the system reliability with the constraints on total system cost. Genetic algorithms (GA) and Tabu Search (TS) methods are both used to solve the proposed optimization models. Since the key to a good TS algorithm is usually quite problem-specific policies and memory structures, there is no existing general TS tool available. Therefore more details of the TS approach used in this paper are discussed than the GA approach. The results obtained with these two methods are compared. The results illustrate that both methods are powerful tools for solving these kinds of problems. However TS is more efficient than GA in computation. The materials in this paper have been published in 19.
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Rahmani, Rabeeollah, and Muhyiddin Izadi. "On Properties of Random-Weighted-k-out-of-n Systems." Journal of Statistical Sciences 12, no. 2 (March 1, 2019): 413–28. http://dx.doi.org/10.29252/jss.12.2.413.

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Gao, Jinwu, Kai Yao, Jian Zhou, and Hua Ke. "Reliability Analysis of Uncertain Weighted $k$ -Out-of- $n$ Systems." IEEE Transactions on Fuzzy Systems 26, no. 5 (October 2018): 2663–71. http://dx.doi.org/10.1109/tfuzz.2018.2806365.

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Chaube, Shshank, and S. B. Singh. "Fuzzy Reliability of Two-Stage Weighted-k-out-of-n Systems with Common Components." International Journal of Mathematical, Engineering and Management Sciences 1, no. 1 (June 1, 2016): 41–51. http://dx.doi.org/10.33889/ijmems.2016.1.1-005.

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It seems there is a scope to study how we can find the fuzzy reliability of two-stage weighted-k-out-n. This paper studies the fuzzy reliability of two-stage weighted-k-out-of-n model with components in common. Algorithms are developed to calculate the system fuzzy reliability, and generate the minimal cuts and minimal paths of two-stage weighted-k-out-of-n systems. Fuzzy reliability bounds for systems with s-dependent component failures are investigated based on the generated minimal cuts and minimal paths. Two types of two-stage weighted-k-out-of-n models, the Series Weighted (SW)-k-out-of-n model, and the Parallel Weighted (PW)-k-out-of-n model, can be applied to investigate fuzzy reliability issues in network applications, such as the project management, and the shortest path problems. Examples are provided to demonstrate the developed models and algorithms of systems having components following different type of membership functions.
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AMRUTKAR, KALPESH P., and KIRTEE K. KAMALJA. "RELIABILITY AND IMPORTANCE MEASURES OF WEIGHTED-k-OUT-OF-n SYSTEM." International Journal of Reliability, Quality and Safety Engineering 21, no. 03 (June 2014): 1450015. http://dx.doi.org/10.1142/s0218539314500156.

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Recently many popular reliability systems are being extended to weighted systems where weight associated with each component refers to load/capacity of that component. The simplest k-out-of-n system extended under this concept is known as weighted-k-out-of-n system. A weighted-k-out-of-n: G(F) system consists of n components each one having a positive integer weight wi, i = 1, 2, …, n such that the total system weight is w and the system works (fails) if and only if the accumulated weight of working (failed) components is at least k. In this paper, we introduce the concept of Weighted Markov Bernoulli Trial (WMBT) {Xi, i ≥ 0} and study the distribution of [Formula: see text], the total weight of successes in the sequence of n WMBT and conditional distribution of [Formula: see text] given that uth trial results in failure/success. We refer the distribution of [Formula: see text] as Weighted Markov Binomial Distribution (WMBD). Further we discuss application of WMBD and conditional WMBD in evaluation of reliability, Birnbaum reliability importance (B-importance) and improvement potential importance of weighted-k-out-of-n: G/F system. The numerical work is included to demonstrate the computational simplicity of the developed results. Further we compare our study with the existing results in terms of efficiency and find that our results are efficient for large values of k.
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Hamdan, K., M. Tavangar, and M. Asadi. "Optimal preventive maintenance for repairable weighted k-out-of-n systems." Reliability Engineering & System Safety 205 (January 2021): 107267. http://dx.doi.org/10.1016/j.ress.2020.107267.

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Rahmani, Rabi-Allah, Muhyiddin Izadi, and Baha-Eldin Khaledi. "Stochastic comparisons of total capacity of weighted-k-out-of-n systems." Statistics & Probability Letters 117 (October 2016): 216–20. http://dx.doi.org/10.1016/j.spl.2016.06.005.

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Cook, Jason L. "Reliability analysis of weighted k-out-of-n systems with variable demand." Quality Engineering 30, no. 4 (September 25, 2018): 687–93. http://dx.doi.org/10.1080/08982112.2018.1506132.

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Li, Xiaohu, Yinping You, and Rui Fang. "ON WEIGHTED K-OUT-OF-N SYSTEMS WITH STATISTICALLY DEPENDENT COMPONENT LIFETIMES." Probability in the Engineering and Informational Sciences 30, no. 4 (June 14, 2016): 533–46. http://dx.doi.org/10.1017/s0269964816000231.

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For the weighted k-out-of-n system with statistically dependent component lifetimes, we have a discussion on the system performance through investigating the ordering properties of the total system weight with respect to component weight vector. Applications of the present ordering results to signature of coherent systems are presented as well.
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Pascual-Ortigosa, Patricia, and Eduardo Sáenz-de-Cabezón. "Algebraic Analysis of Variants of Multi-State k-out-of-n Systems." Mathematics 9, no. 17 (August 25, 2021): 2042. http://dx.doi.org/10.3390/math9172042.

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We apply the algebraic reliability method to the analysis of several variants of multi-state k-out-of-n systems. We describe and use the reliability ideals of multi-state consecutive k-out-of-n systems with and without sparse, and show the results of computer experiments on these kinds of systems. We also give an algebraic analysis of weighted multi-state k-out-of-n systems and show that this provides an efficient algorithms for the computation of their reliability.
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Dissertations / Theses on the topic "Weighted k-out-of-n systems"

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Морозов, Костянтин В’ячеславович. "Методи і засоби побудови моделей поведінки небазових відмовостійких багатопроцесорних систем." Doctoral thesis, Київ, 2021. https://ela.kpi.ua/handle/123456789/40485.

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Дисертація присвячена проблемі побудови графо-логічних моделей (GL-моделей) небазових відмовостійких багатопроцесорних систем (ВБС) з метою розрахунку їх параметрів надійності шляхом проведення статистичних експериментів із вищезгаданими моделями. Запропоновано метод перетворення GL-моделей за рахунок модифікації виразу будь-якої реберної функції так званої МВР-моделі. Метод базуються на зміні як однієї, так і обох частин виразу реберної функції та дозволяє модифікувати модель так, що на деяких векторах стану системи вона, на відміну від оригінальної, починає показувати роботозданий і/або нероботоздатний стан. Проаналізовано межі впливу для загального випадку модифікації як однієї, так і кількох реберних функцій на зміну поведінки моделі. Вперше запропоновано аналітичний апарат, що дозволяє визначати вектор стану t-діагностованої ВБС на основі результатів взаємного тестування процесорів, згідно із моделлю Препарати-Метца-Чена (ПМЧ-модель), для довільної топології зв’язків між ними. Вперше запропоновано метод побудови GL-моделей так званих зважених систем, в яких кожний компонент має деяку вагу, що характеризує його вклад в роботоздатність системи в цілому, а також узагальнення методу побудови GL-моделей, що базується на використанні в якості реберних функцій багатозначної логіки та дозволяє використовувати їх для побудови моделей систем, для яких, як і їх компонентів характерні більше двох станів роботоздатності. Запропоновано метод побудови GL-моделей ієрархічних систем шляхом композиції декількох МВР-моделей, а також моделей систем, що складаються з кількох підсистем та мають ковзний резерв.
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Sung, Chung-Wei, and 宋浚維. "An Efficient Algorithm for the Reliability of Weighted-m-consecutive-k,l-out-of-n: F Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/waz874.

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碩士
國立臺北大學
資訊工程學系
104
The original m-consecutive-k-out-of-n:F system, which was first proposed by Griffith, consists of n components arranged in a line, where the system fails if and only if there are at least m non-overlapping runs of consecutive k failed components. Later some variants or extensions of the system model are proposed and studied. For example, Eryilmaz and Mahmoud’s model considers overlapping runs of failed components; Kamalja and Amrutkar’s model considers weighted components. Recently, Cui considers both linear and circular models where the components are arranged in a line or on a circle. Though there may be overlapping runs of failed components, weighted components are not considered in Cui’s model. In this paper, we use a general model to study the reliability of m-consecutive-k-out-of-n:F system where all components are weighted, there may be overlapping runs of failed components, and components can be arranged in a line or on a circle. Based on heterogeneous Markov chains, we develop efficient algorithms for reliability of the generalized model. In addition, the algorithms can also be applied to compute Marginal Reliability Importance (MRI) and Joint Reliability Importance (JRI) for components very efficiently.
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Book chapters on the topic "Weighted k-out-of-n systems"

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Khorshidi, H., I. Gunawan, and M. Ibrahim. "A bi-objective dynamic model for multi-state weighted k-out-of-n system reliability." In Safety and Reliability of Complex Engineered Systems, 2229–34. CRC Press, 2015. http://dx.doi.org/10.1201/b19094-292.

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Conference papers on the topic "Weighted k-out-of-n systems"

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Song, Xiaogang, Zhengjun Zhai, Peican Zhu, Yangming Guo, and Yunpeng Zhang. "Reliability approximation evaluation of multi-stated weighted k-out-of-n systems." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079134.

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Li, Jing, Guangyu Chen, Jun Li, and Ruiqi Wang. "Availability evaluation and design optimization of multi-state weighted k-out-of-n systems." In 2016 Prognostics and System Health Management Conference (PHM-Chengdu). IEEE, 2016. http://dx.doi.org/10.1109/phm.2016.7819791.

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Ebrahimipur, V., and A. Shabani. "Optimization multi -state series weighted k-out-of-n systems by ant colony algorithm." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2009. http://dx.doi.org/10.1109/ieem.2009.5373360.

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Zhiwei, Chen, Zhao Tingdi, Jiao Jian, and Wu Huan. "Availability Analysis of Multi-state Weighted k-out-of-n Systems with Component Performance Requirements." In 2018 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2018. http://dx.doi.org/10.1109/ram.2018.8463103.

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Roohi, Sh F., and Y. F. Li. "Time-to-state and availability assessment of multi-state weighted k-out-of-n: G systems." In EM). IEEE, 2010. http://dx.doi.org/10.1109/ieem.2010.5675603.

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Ebrahimipur, V., and M. Sheikhalishahi. "Reliability optimization of multi-state weighted k-out-of-n systems by fuzzy mathematical programming and genetic algorithm." In 2011 IEEE International Systems Conference (SysCon). IEEE, 2011. http://dx.doi.org/10.1109/syscon.2011.5929074.

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Zhuang, Xinchen, Tianxiang Yu, and Bozhi Guo. "Dynamic Reliability Evaluation of Binary Weighted K-Out-of-N system with Dependent Components based on Multivariate Copulas." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Singapore: Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2724-3_0833-cd.

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