{"title":"Allocation efficiency optimization model of support equipment of materiel","authors":"Longkun An, B. Xiao, Jianlong Wu, Tiankun Liu","doi":"10.1109/ICRSE.2017.8030791","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030791","url":null,"abstract":"In view of the fact that there is no comprehensive evaluation parameter of support equipment allocation efficiency, in this paper, we had a comprehensive consideration of the mean logistic delay time and the annual consumption cost of support equipment, and analyzed and constructed the optimization model of allocation efficiency from the perspective of cost-effectiveness with the constraint of satisfaction and utilization rate of support equipment. An improved genetic algorithm was used to solve this model, finally, a set of optimal allocation concept of equipment was obtained.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A static load balancing evaluation method for IMA system","authors":"Siyuan Zhou, Shihai Wang, B. Liu","doi":"10.1109/ICRSE.2017.8030803","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030803","url":null,"abstract":"The integrated avionics system is a platform that integrates a series of flexible, reusable, interoperable hardware and software resources. It enables to implement the decoupled isolation of task software and physical resources under the premise of versatility of hardware resources and configuration of system applications, which can meet the requirements of software system updates and task changes with the possibility of dynamic reconfiguration in the event of a system failure. As the system hardware module is versatile, when the system task configuration and re-configuration, its partitioning and application configuration strategy determines the system comprehensive performance. On the basis of satisfying performance and reliability, the balanced distribution of task load can effectively improve the working efficiency of the system and reduce the possibility of failure. In this paper, we present a static load balancing evaluation method for IMA system based on the concept of distributed system load balancing. Aiming at the characteristics of strong real-time and two-level configuration of IMA system, we propose four evaluation indexes which are used to describe the load capacity of module and the communication ability between modules. And the application of the evaluation method in IMA system model analysis and reconstruction configuration is prospected.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A hybrid process coupling hazard analysis method based on PFMEA and BN","authors":"Yang Wu, T. Zhao, Jiayun Chu","doi":"10.1109/ICRSE.2017.8030814","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030814","url":null,"abstract":"The coupling of man-machine-environment is one of the important hazardous causes in complex processes, which is currently lack of effective analysis methods on the subsequent impacts. In this paper, a hybrid coupling hazard analysis method applying the core ideas of Process Failure Mode and Effects Analysis (PFMEA) and Bayesian Network (BN) is proposed to decompose and describe the complex processes, and to determine the boundary conditions. Coupling hazard model is proposed to analyze the impact on the subsequent processes. BN method is used to model the accident process and evaluate the probability of the accident. Finally, the feasibility and effectiveness of the proposed models and methods are illustrated using a product case.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Failure prediction and simulation of the starting system","authors":"M. Dziubiński","doi":"10.1109/ICRSE.2017.8030719","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030719","url":null,"abstract":"The article presents a new method for predicting the reliability of the automobile starter using the AgenaRisk program and experimental research. The program allows to forecast the health status of the starter and provide service intervals of its technical condition. Simulation studies for selected faults in the electrical and mechanical circuits of the starter allowed to carry out an analysis of the parameters defining the technical condition of the starter. The scientific aim of the article was to develop and validate a diagnostic method designed for the operational monitoring of the startup circuit of a car. The aim of the experiment was to forecast the state of reliability of elements of the starter system, with the possibility of using the OBD (On-Board Diagnosis).","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132612177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Belief reliability evaluation of a quad redundant servo system: A case study","authors":"Shaolei Yu, Qingyuan Zhang, M. Wen, R. Kang","doi":"10.1109/ICRSE.2017.8030775","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030775","url":null,"abstract":"Belief reliability is a new reliability metric considering both aleatory uncertainty and epistemic uncertainty. This paper will give a case study of belief reliability theory, focusing on the reliability evaluation of a quad redundant servo system. In the case study, the belief reliabilities of four components are first evaluated by estimating design margin, aleatory uncertainty factor, and epistemic uncertainty factor. Then, the system belief reliability is calculated based on a minimal cut theorem. Some measures for improving system reliability are finally given according to the evaluation results.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132860665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new fractal based reliability model","authors":"Lina Sun, N. Huang, Yanan Bai","doi":"10.1109/ICRSE.2017.8030781","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030781","url":null,"abstract":"Reliability model is the basis for reliability assessment, prediction and optimization. Previous models always describe system reliability based on the state of each component and their relationships, which will bring high computational effort and are not feasible for large and complex systems. In this paper, a new reliability model is proposed for all-terminal reliability assessment. It is built based on fractal theory and described in the way of iteration with fractal unit and some parameter. The model is applied to a typical fractal network-Koch network, which makes the modeling process based on the fractal unit, and then will bring a simplification for reliability model. The idea in this model can be extended to analyze the reliability in complex systems with extended or self-similar features. Moreover, many cases are studied and the results show that all-terminal reliability is reduced rapidly with the increase of Koch network size.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A storage reliability evaluation method of gyroscope based on probability density evolution","authors":"Ge Jiang, Hong-jie Yuan, Jing Xia, Peichang Li","doi":"10.1109/ICRSE.2017.8030745","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030745","url":null,"abstract":"In the storage reliability evaluation, storage equipment is typically evaluated by stored data or accelerated test data. But the effect of component degradation on system degradation is not considered in depth. A storage reliability evaluation method based on probability density evolution is proposed from the point of view of the component in this paper. This method does not need to discretize the state of the output performance parameters of the system and can establish the continuous probability density function of the system output performance parameters. In this paper, the gyroscope is taken as an example, and this method is used to assess its storage reliability. In the conditions to ensure the accuracy of the calculation, the efficiency of the method compared with Monte Carlo simulation is significantly improved, and the feasibility of the method is demonstrated.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131346570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on multi-objective multidisciplinary design optimization based on particle swarm optimization","authors":"Yangyang Wang, Minghong Han","doi":"10.1109/ICRSE.2017.8030754","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030754","url":null,"abstract":"Complex systems consist of many disciplines or components, which are often difficult to the design optimize as a overall. They need to be broken down into different components, and then coordinate the links between different parts. ATC (Analysis Target Cascade) - one of the multidisciplinary design optimization methods, is an effective way to solve such intricate problems. In the traditional multidisciplinary design optimization methods, there is only one objective function. But the multi-objective optimization problems are often emerged in practical engineering problems. So, we will focus on the multi-objective optimization problems in multidisciplinary design optimization, and solve them with particle swarm optimization. The original problem is firstly decomposed into multiple coupled sub-problems and then coordinate the relation between each sub-problems by ATC method. The system-level sub-problem is a multi-objective optimization problem and the other subsystems are the general single-objective optimization problems, the MOPSO method and the sequence quadratic programming (SQP) method will be used to solve them respectively. The final optimization result is consistent with the optimization result before the original problem is decomposed. Finally, we used two examples to demonstrate the feasibility of particle swarm optimization (PSO) method to get the solution of the multi-objective problems with ATC method.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115330780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-objective optimization model for multi-echelon spare parts supply system under uncertain circulation","authors":"Yi Yang, Yongqiang Du","doi":"10.1109/ICRSE.2017.8030759","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030759","url":null,"abstract":"The optimization of spare parts inventory for equipment support system is becoming a dominant support strategy, especially in the defense industry. Tremendous researches have been made to achieve optimal support performance of the supply system. However, the lack of statistical data brings limitations to these optimization models which are grounded on probability theory. And, the spare parts inventory optimization is aimed at obtaining optimal military and economic benefits. These goals often conflict with each other, and meantime they are also restricted with each other. This is exactly the embodiment of the characteristics for multi-objective optimization problem.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121110920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On multi-state system with interval-valued states under preventive maintenance and minimal repairs","authors":"Wei Wang, Yao Xu, Binning Fan, J. Xiong","doi":"10.1109/ICRSE.2017.8030714","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030714","url":null,"abstract":"In this paper, we develop and investigate a model for the reliability and availability of multi-state degraded system with the system states represented as interval-valued numbers. That is, the system in a certain interval-valued state can provide arbitrary value of performance between the lower bound and the upper bound. The status of the system is considered to degrade with use and we consider the case of imperfect preventive maintenance and minimal repairs. Considering predetermined system demand, the system is modeled as a continuous-time Markov process. Based on the Markov model, the availability and the reliability of the multi-state degraded system can be evaluated by solving the corresponding Chapman-Kolmogorov equations. Finally, a numerical example of deployable antenna truss is given to illustrate the proposed model.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124888463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}