Optimal design of a linear sliding window system with consideration of performance sharing

2020 ◽  
Vol 198 ◽  
pp. 106900 ◽  
Author(s):  
Hui Xiao ◽  
Yiyun Zhang ◽  
Yisha Xiang ◽  
Rui Peng
Keyword(s):  
Optimal Design ◽  
Sliding Window ◽  
Window System

Optimal allocation of multi-state elements in a sliding window system with phased missions

2020 ◽  
pp. 1748006X2094616
Author(s):  
Kunxiang Yi ◽  
Gang Kou ◽  
Kaiye Gao ◽  
Hui Xiao
Keyword(s):  
Intelligent Transportation Systems ◽  
High Performance ◽  
Optimal Allocation ◽  
Sliding Window ◽  
Heating System ◽  
Degradation Process ◽  
Transportation Systems ◽  
Function Technique ◽  
Window System ◽  
Evaluation Algorithm

Many real-world engineering systems such as aerospace systems, intelligent transportation systems and high-performance computing systems are designed to complete missions in multiple phases. These types of systems are known as phased-mission systems. Inspired by an industrial heating system, this research proposes a generalized linear sliding window system with phased missions. The proposed system consists of N nodes with M multi-state elements that are subject to degradation. The linear sliding window system fails if the cumulative performance of any r consecutive nodes is less than the pre-determined demand in any phase. The degradation process of each element is modeled by a continuous-time Markov chain. A novel reliability evaluation algorithm is proposed for the linear sliding window system with phased missions by extending the universal generating function technique. Furthermore, the optimal element allocation strategy is determined using the particle swarm optimization. The effectiveness of the proposed algorithm is confirmed by a set of numerical experiments.

Reliability analysis of circular multi-state sliding window system with sequential demands

2020 ◽  
Vol 198 ◽  
pp. 106882 ◽  
Author(s):  
Wei Wang ◽  
Yongnian Fu ◽  
Peng Si ◽  
Mingqiang Lin
Keyword(s):  
Reliability Analysis ◽  
Sliding Window ◽  
Window System

scholarly journals Condensation Resistance Evaluation of a Double-sliding Window System for Apartment Buildings

2016 ◽  
Vol 146 ◽  
pp. 60-68 ◽  
Author(s):  
Sihyun Park ◽  
So Young Koo ◽  
Jae-Han Lim ◽  
Yoon-Bok Seong ◽  
Seung-Yeong Song
Keyword(s):  
Sliding Window ◽  
Resistance Evaluation ◽  
Apartment Buildings ◽  
Window System

scholarly journals Signature of A-Within-B-From-D/G Sliding Window System

2019 ◽  
Vol 4 (1) ◽  
pp. 95-107 ◽  
Author(s):  
Akshay Kumar ◽  
S. B. Singh
Keyword(s):  
Generating Function ◽  
Sliding Window ◽  
Expected Value ◽  
Coherent System ◽  
Multiple Failures ◽  
System Sensitivity ◽  
Window System ◽  
Universal Generating Function

In this study, we have proposed a model of the sliding window coherent system in case of multiple failures. The considered model consists of G linearly required multi-state elements and G number of parallel elements in A-within-B-from-D/G for each multi-state. The system fails if at least A group elements out of B consecutive of D consecutive multi-state elements have performance lower than the weight w. We have evaluated the signature reliability, expected value and system sensitivity on the basis of the extended universal generating function of the considered system.

Signature reliability of linear multi-state sliding window system

2018 ◽  
Vol 35 (10) ◽  
pp. 2403-2413 ◽  
Author(s):  
Akshay Kumar ◽  
S.B. Singh
Keyword(s):  
Cost Analysis ◽  
Design Methodology ◽  
Lifetime Cost ◽  
Sliding Window ◽  
Coherent System ◽  
Content Type ◽  
Window System ◽  
Performance Rate ◽  
The Given ◽  
State Case

Purpose The purpose of this paper is to deal with a linear multi-state sliding window coherent system which generalizes the consecutive k-out-of-r-from-n:F system in the multi-state case. The system has n linearly ordered multi-state elements consisting of m parallel independent and identically distributed elements. Every element of the system can have two states: completely working or totally failed. The system fails if the sum of performance rate is lower than the given weight. Design/methodology/approach The authors proposed to compute the signature, MTTF and Barlow–Proschan index with the help of UGF technique of multi-state SWS which consists of m parallel i.i.d. components in each multi-state window. Findings In the present study, the authors have evaluated the signature reliability, expected lifetime, cost analysis and Barlow–Proschan index. Originality/value In this study, the authors have studied a linear multi-state sliding window system which consists of n ordered multi-state element, and each multi-state element also consists of m parallel windows. The focus of the present paper is to evaluate reliability metrices of the considered system with the help of signature from using the universal generating function.

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