Jian Xiao, Liping He, Hongzhong Huang, Xiaoling Zhang, Zhonglai Wang
{"title":"Reliability analysis of elastic link mechanism based on BP Neural Network","authors":"Jian Xiao, Liping He, Hongzhong Huang, Xiaoling Zhang, Zhonglai Wang","doi":"10.1109/ICQR2MSE.2012.6246237","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246237","url":null,"abstract":"The demand of kinematic accuracy is increasing for modern mechanical systems, while elastic deformation will lead to the decline in kinematic accuracy. This paper examines the application of finite element analysis (FEA) method to kinematic error analysis of elastic mechanisms based on Kineto-Elastodynamics model. The simulation of limit state equations of link mechanisms is performed with Back Propagation Neural Networks (BPNN), while the reliability analysis is carried out with the Monte Carlo simulation (MCS) method for solving the reliability, of the elastic mechanism. The numerical example shows that the proposed analysis method is feasible and effective in improving the kinematic accuracy and can be applied to reliability analysis of other mechanisms in practical engineering.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212517","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":"Optimizing spare inventory under group maintenance policy","authors":"Chang-An Xu, Jianmin Zhao, Ya Li","doi":"10.1109/ICQR2MSE.2012.6246275","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246275","url":null,"abstract":"A simulation model for joint optimization of GM and spare part inventory control under infinite horizon is presented through analyzing the characteristic of spare part demand of a system under group maintenance (GM) policy. In this model, maintenance activities of GM and spare supply are simulated using Monte Carlo method, by which costs of repair, spare inventory, and loss of system downtime induced by lack of spare are calculated. Then, expected total cost per unit time can be obtained by simulating for a number of periods. The preventive replacement interval and the stock level are optimized by minimizing the total cost per unit time. Matlab is utilized to gain the numerical solution of the model, and a sensitivity analysis of model has been done.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334840","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}
Shuhai Wang, Guangsheng Liu, Xia Tao, Guang Tian, Qiao Ma
{"title":"Case analysis of repair quality control of ordnance equipment","authors":"Shuhai Wang, Guangsheng Liu, Xia Tao, Guang Tian, Qiao Ma","doi":"10.1109/ICQR2MSE.2012.6246474","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246474","url":null,"abstract":"The repair quality of ordnance equipment affects directly fighting capacity of equipment. Therefore, it is necessary to study repair quality control of equipment. In light of modern mathematical statistics principles, we do analysis and systematic research on the quality data obtained in a factory so as to identify improvement measures, thus promoting repair quality control standard of ordnance equipment.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114523772","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":"Reliability assessment of a truck engine based on measurements of combustion chamber tightness","authors":"G. Koszalka, A. Niewczas, D. Pieniak","doi":"10.1109/ICQR2MSE.2012.6246392","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246392","url":null,"abstract":"The article shows an analysis of the reliability of a compression-ignition engine used in a medium duty truck. The criterion for the reliability assessment was the decrease in combustion chamber tightness. The analysis was based on the results of compression pressure tests and leak-down tests conducted during a long-term operation of 5 trucks. Experimental survival functions and then continuous reliability functions, fitted to the empirical ones, were determined along with the failure rate functions.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124316579","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 modeling method of complex system mission reliability simulation","authors":"Junhai Cao, Qinqin Wang, Ying Shen","doi":"10.1109/ICQR2MSE.2012.6246242","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246242","url":null,"abstract":"The mission reliability analysis and evaluation of complex system is a very important domain of reliability engineering. Aiming at the problem of complex system mission reliability simulation, basing on multi-agent simulation modeling technology, the paper brings forward a simulation modeling method for complex system mission reliability simulation via mission profile modeling, environment profile modeling, and dynamic reliability modeling techniques. The method take into account influences of mission environment and working condition changes to the system reliability, and provides a technical approach for realizing complex system mission reliability simulation.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710174","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":"Modeling of quality control points of equipment maintenance process","authors":"Yi Zheng, Ai-Min Li, Jianjie Liu, Shaohua Wang","doi":"10.1109/ICQR2MSE.2012.6246492","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246492","url":null,"abstract":"In order to control the maintenance process effectively and improve the maintenance quality, model for quality control points of equipment maintenance process is formulated in this paper. By analyzing the process of equipment maintenance systematically, Control elements of the process are selected as the control targets to build the equipment maintenance process quality control point model. Therefore the maintenance quality indexes can be determined. Using Analytic hierarchy process, the influence of maintenance quality indexes on the general process of the maintenance quality control points are analyzed and calculated. Further, evaluating method is proposed in this paper for the important influence factors of the quality.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317689","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":"Introduction to safety analysis of critical infrastructures","authors":"K. Kolowrocki, J. Soszyńska-Budny","doi":"10.1109/ICQR2MSE.2012.6246177","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246177","url":null,"abstract":"In the paper the new results of the safety investigations of the multistate complex systems with dependent components in variable operation conditions called critical infrastructures are presented. The multi-state safety function of the critical infrastructure system is defined and determined for an exemplary critical infrastructure. In the developed models, it is assumed that the system components have the multistate exponential safety functions with interdependent departures rates from the subsets of the safety states.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126323496","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}
Zhen Zhang, Jun Chen, Hongqing Lv, Yiming Su, Shuhai Wan
{"title":"The research of logistical equipment green maintenance","authors":"Zhen Zhang, Jun Chen, Hongqing Lv, Yiming Su, Shuhai Wan","doi":"10.1109/ICQR2MSE.2012.6246291","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246291","url":null,"abstract":"The green maintenance is the modern maintenance mode on the basis of comprehensive consideration of environmental impact and efficiency of resource use. This paper first analyzes the relevance factors of green maintenance. Secondly, it builds the green maintenance model. Finally, this paper presents countermeasures and measures for green maintenance.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125438341","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 novel trust model based on bayes statistics","authors":"Haimei Xu, Yu-Lin Liu, Ting Li, Han Yang, L. Wang","doi":"10.1109/ICQR2MSE.2012.6246378","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246378","url":null,"abstract":"Based on Bayesian statistics, this paper presents a novel P2P trust model BTtrust. The history records of transaction and prior beliefs are used to derive the global trust value of every node. Every node trades with peers with high trust values. Mathematical analysis and simulation results show BTtrust can resist attacks of malicious peers and improve the successful download rate of the whole P2P system.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125713742","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":"Optimal buffer inventory for maintenance action under random production capacity availability","authors":"Yan Zhang, Shi-Yu Gong, Jingyu Sheng","doi":"10.1109/ICQR2MSE.2012.6246262","DOIUrl":"https://doi.org/10.1109/ICQR2MSE.2012.6246262","url":null,"abstract":"To a prolonged operation production system, if the availability of facility production capability is strong randomness, design appropriate amount of buffer stock to meet the continued operation or the maximum to reduce the loss because of the preventive maintenance process and occasional failure is very necessary. In this paper, we trade off the holding cost, shortage cost, the occasional failure loss, defective production loss cost of the facility, etc, and then use data weighted integration and Nelder-Mead delete method to deduce the optimal buffer stock strategy. The example shows that compared with the programs did not use optimize inventory, the optimize inventory program is the most economical.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127901403","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}