scholarly journals Application of the Jaya algorithm to solve the optimal reliability allocation for reduction oxygen supply system of a spacecraft

2021 ◽  
Vol 24 (2) ◽  
pp. 1202
Author(s):  
Saad Abbas Abed ◽  
Mohammad Aljanabi ◽  
Noor Hayder Abdul Ameer ◽  
Mohd Arfian Ismail ◽  
Shahreen Kasim ◽  
...  
Keyword(s):  
Complex System ◽  
System Reliability ◽  
Oxygen Supply ◽  
Optimization Problems ◽  
Supply System ◽  
Jaya Algorithm ◽  
Specific System ◽  
Cut Method ◽  
System Reliability Optimization ◽  
The Cost

In this paper the reliability of reduction oxygen supply system (ROSS) of a spacecraft which was calculated as a complex system using minimal cut method. The reliability of each component of system was calculated as well as the reliability importance of the system. The cost of each component of the system was possible approaches of the allocation values of reliability based the minimization of the overall cost in this system. The advantage of this algorithm can be used to allocate the optimization of reliability for simple or complex system. This optimization is achieved using the Jaya algorithm. The proposed technique is based on the notion that a conclusion reached on a particular problem should pass near the best results and avoid the worst outcomes. The original findings of this paper are: i) the system used in this paper is a spacecraft’s reduced oxygen supply system with the logarithmic cost function; and ii) the results obtained were by using the Jaya algorithm to solve specific system reliability optimization problems.

scholarly journals Reliability Guarantee Strategy for Complex System Based on Cost-Benefit Importance

2020 ◽  
Vol 38 (6) ◽  
pp. 1316-1321
Author(s):  
Cheng Wang ◽  
Jianxin Xu ◽  
Zhenming Zhang ◽  
Hongjun Wang
Keyword(s):  
Complex System ◽  
System Reliability ◽  
Cost Benefit ◽  
Maintenance Cost ◽  
Critical Systems ◽  
Preventive Replacement ◽  
Equipment Safety ◽  
Operation Process ◽  
The Cost ◽  
Component Replacement

In order to ensure the long-term stable and economic operation of complex system, the system operation process is described and the problems is solved, and a system reliability model and an optimization model for component replacement are constructed. Based on the theory of marginal utility and importance measures, a reliability guarantee strategy for complex system based on cost-benefit importance is presented, which aims to find a component preventive replacement sequence with minimum maintenance cost on the constraints of system reliability lower threshold and running time. When the system reliability drops to a preset threshold, the cost-benefit importance of each component is calculated, the component with the greatest cost-benefit importance to replace is selected, and then iterate until the operation task is completed to form an optimal component replacement sequence. The feasibility of the present strategy is verified by taking a complex system which can be equivalent to a series-parallel system as an example. The present strategy has certain reference significance of ensuring the reliable operation of some high-end equipment safety-critical systems.

scholarly journals Set Theoretical Variants of Optimization Algorithms for System Reliability-based Design of Truss Structures

2021 ◽  
Author(s):  
Ali Kaveh ◽  
Kiarash Biabani Hamedani ◽  
Mohammad Kamalinejad
Keyword(s):  
Design Optimization ◽  
System Reliability ◽  
Failure Modes ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
System Level ◽  
Truss Structures ◽  
Jaya Algorithm ◽  
Reliability Based Design Optimization ◽  
Reliability Based Design

In this paper, recently developed set theoretical variants of the teaching-learning-based optimization (TLBO) algorithm and the shuffled shepherd optimization algorithm (SSOA) are employed for system reliability-based design optimization (SRBDO) of truss structures. The set theoretical variants are designed based on a simple framework in which the population of candidate solutions is divided into some number of smaller well-arranged sub-populations. In addition, the framework is applied to the Jaya algorithm, leading to a set-theoretical variant of the Jaya algorithm. So far, most of the reliability-based design optimization studies have focused on the reliability of single structural members. This is due to the fact that the optimization problems with system reliability-based constraints are computationally expensive to solve. This is especially the case of statically redundant structures, where the number of failure modes is so high that it is impractical to identify all of them. System-level reliability analysis of truss structures is carried out by the branch and bound method by which the stochastically dominant failure paths are identified within a reasonable time. At last, three numerical examples, including size optimization of truss structures, are presented to illustrate the effectiveness of the proposed SRBDO approach. The results indicate the efficiency and applicability of the set theoretical optimization algorithms to solve the SRBDO problems of truss structures.

Multi-criteria decision support for annual rehabilitation programmes in drinking water networks

2003 ◽  
Vol 3 (1-2) ◽  
pp. 43-50 ◽  
Author(s):  
R. Baur ◽  
P. Le Gauffre ◽  
S. Sægrov
Keyword(s):  
Drinking Water ◽  
System Reliability ◽  
Supply System ◽  
Third Party ◽  
Potential Contribution ◽  
Water Network ◽  
Ongoing Work ◽  
Points Of View ◽  
The Cost ◽  
Selection Of

The selection of projects in the annual rehabilitation plan of a drinking water network requires the consideration of different aspects of existing deficiencies and expected improvements in the water supply system. With a field study of 12 water utilities in Europe, the objectives of drinking water network rehabilitation are identified. These objectives are assigned to a number of “points of view” that can be divided in two types: internal and external points of view. Internal points of view mainly affect the cost and the monetary benefits of rehabilitation measures for the utility. External benefits of rehabilitation result from a better hydraulic performance of the system, from improved system reliability or reduction of risks and therefore, they contribute to customer and third party satisfaction. Nine points of view are rendered more precisely by 17 criteria. The criteria are expressed by detailed cost functions, quantification of current deficiencies, assessment of risks or assessment of the pipe’s potential contribution to zonal problems. Examples are given of criteria definitions and their calculation for using them in procedures of aiding decisions. This paper is a report on ongoing work in the CARE-W European project.

OPTIMIZATION OF COMPLEX SYSTEM RELIABILITY BY A MODIFIED GREAT DELUGE ALGORITHM

2004 ◽  
Vol 21 (04) ◽  
pp. 487-497 ◽  
Author(s):  
VADLAMANI RAVI
Keyword(s):  
Complex System ◽  
Simulated Annealing ◽  
System Reliability ◽  
Optimization Problems ◽  
Optimization Techniques ◽  
Mixed System ◽  
Multi Stage ◽  
Efficient Alternative ◽  
Great Deluge Algorithm ◽  
Present Algorithm

In this paper, a global optimization meta-heuristic, the great deluge algorithm, is extended and applied to optimize the reliability of complex systems. Two different kinds of optimization problems (i) Reliability optimization of a complex system with constraints on cost and weight (ii) Optimal redundancy allocation in a multi-stage mixed system with constraints on cost and weight are solved to demonstrate the effectiveness of the algorithm. A software developed in ANSI C, implements the algorithm. In terms of both accuracy and speed, it is observed that the present algorithm, the modified great deluge algorithm (MGDA) yielded far superior results compared to those obtained by the simulated annealing, the improved non-equilibrium simulated annealing and other optimization algorithms. Further, when both accuracy and speed are considered simultaneously, both MGDA and another meta-heuristic, ant colony optimization (ACO) yielded comparable results. In conclusion, the MGDA, can be used as an efficient alternative to ACO and other existing optimization techniques.

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