Fuchun Ren, J. Jiao, Yuqing Hu, T. Zhao, Liangji Zhou
{"title":"Reliability evaluation for complex systems with load sharing and failure dependence: A case study on LTD","authors":"Fuchun Ren, J. Jiao, Yuqing Hu, T. Zhao, Liangji Zhou","doi":"10.1109/ICRSE.2017.8030724","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030724","url":null,"abstract":"Many real-world systems such as multi-processor computing and power transmission systems have load sharing attribute where the whole system workload is distributed to different system elements. In these systems, when one element fails, other remaining elements would take over the workload which will change their failure behavior and cause a dynamic dependence of failure, thus a reliability evaluation work will be necessary for a high mission success probability of these systems. In this paper, the reliability evaluation problem of Linear Transformer Driver (LTD) system with typical attribute of load sharing and failure dependence is discussed. Firstly, the LTD system with reliability concerns is introduced. Then, the load sharing and failure dependence properties are specified with mathematic formulations. Finally, the key factors of initial work coefficient, load distribution strategy and failure model in the LTD development stage are analyzed from the reliability perspective. As a preliminary exploration, the result would provide a guidance for better industrial application.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"26 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":"134283244","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":"Active events affection-based approach of zonal product multi-factors correlation analysis","authors":"Yu Xiao, C. Lv, Yaoyao Wang, Chunhui Guo","doi":"10.1109/ICRSE.2017.8030790","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030790","url":null,"abstract":"Products arranged in the same zone usually have some spatial correlation, function relation and the impact of environmental stress, which usually causes coupling effect with other products in the same zone. This kind of coupling effect affects products' quality, and may influence the veracity and comprehensiveness of the quality analysis. To solve this issue, starting from changing the traditional characteristics-based analysis method, proceeding with the different type of zonal events, this paper proposes a logical decision method based on the active event to analyze the association effect between regional products, and obtains bad coupling on several important quality characteristics such as product function, reliability, maintainability, guarantee ability and testing. Also discover the impacts of the bad coupling on the specific quality characteristics. Through the most critical impact of the coupling events and the highest correlated products found by the logical decision-making process, it could use as a reference for improving the products design.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"64 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":"132541279","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":"Challenges in the RAMS database realization for industrial robots","authors":"Jiafan Zhang, X. Fang","doi":"10.1109/ICRSE.2017.8030715","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030715","url":null,"abstract":"Industrial robots are being widely used attributed to their flexibility, repeatability, and accuracy. The reliability of industrial robots are becoming more highlighted. Over-year evidence clearly indicates that the reliability of industrial robots has had a big improvement, not only by the more reliable hardware design, but also by collecting and analyzing the failure data in fields over a long period of time. The database for the assessment of RAMS (Reliability, Availability, Maintainability and Safety) has been, therefore, paramount to industrial robot designers and manufactures. A common database for industrial robots is not a new idea. Normally, the industrial robot manufacturers retain the detailed data about faults and other incidents retained by through after-service. However, the current databases are far from satisfactory as they are not clear regarding how they will address the RAMS requirements. In this paper, the needs and expectations of the RAMS database for the industrial robots are stated. The potential technical challenges to be faced during the realization of this database are carefully discussed. It is expected that the realization of the RAMS database could bring a further improvement ranging from design, to operation and maintenance.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"32 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":"115976960","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}
M. Dziubiński, G. Litak, A. Drozd, Józef Stokłosa, A. Marciniak
{"title":"Modeling method embedded into diagnostics, reliability and maintenance - models as knowledge representation systems","authors":"M. Dziubiński, G. Litak, A. Drozd, Józef Stokłosa, A. Marciniak","doi":"10.1109/ICRSE.2017.8030716","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030716","url":null,"abstract":"The paper introduces the problem of building diagnostic models according to knowledge engineering conceptualization and methodology, where the model is a formal and computable symbolic representation of the specific domain knowledge. Diagnostic process is conceptualized as computable inferential reasoning from observable symptoms to unobservable causes. Uncertainty inherent in such reasoning is represented with Bayesian networks technology. That methodological background of the diagnostic process modeling makes the model suitable for embedding into the physical system, adaptively fitting to specific operating conditions using learning algorithms on the collected data, and operating as the knowledge base answering the diagnostic questions under given observations. Presented problem conceptualization is exemplified with car ignition system. Presented example is minimal and sufficient to show the method of building Bayesian network learning conditional distributions and operating model by answering diagnostic questions.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"54 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":"123251412","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}
Yufeng Xue, Lan Lin, John C. Tucker, Becky Hammons, Michael Wolfe
{"title":"Improving test adequacy and software reliability with practices of statistical testing","authors":"Yufeng Xue, Lan Lin, John C. Tucker, Becky Hammons, Michael Wolfe","doi":"10.1109/ICRSE.2017.8030809","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030809","url":null,"abstract":"Statistical testing based on a Markov chain usage model, as a rigorous testing method, has been around for more than two decades. Through the comprehensive application of statistical science to the testing of software, it provides audit trails of evidence to support correctness arguments for a software-intensive system as well as a decision that the system is of requisite quality for its intended use. This paper reports a real-world case study in which we applied standard statistical testing practices to the phone flag copy testing problem at the site of our industrial collaborator, and presents our solution from problem formalization, usage modeling and model analysis to test case generation and analysis. Our results helped evaluate the coverage of a heuristically generated test suite, and shed light on what other test cases to craft/generate to improve test coverage and adequacy, as well as reliability estimates both at the arc (usage event) level and at the path (system) level.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"12 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":"124825178","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":"An analysis method of pipeline fault propagation in gas network system","authors":"Li Chang, Guangyan Zhao, Dawei Xu","doi":"10.1109/ICRSE.2017.8030805","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030805","url":null,"abstract":"Gas network system is an important medium of gas transmission; it develops quickly and has the large scale. The pipeline is an important part of the gas network system, and its local failure may lead to the short or stop of gas supply of large-scale network system. In order to explore the fault propagation rule and its influence on the gas network system, fault models are established according to different failure modes and then the influence of the upstream pipeline and the downstream pipeline by the failure point is analyzed from the partial perspective. And a new fault propagation simulation method of the pipeline is proposed from the whole perspective to explore the failure effect of connected pipeline and the entire gas network system. The combination of local and global analytical methods provides a new method for the pipeline fault propagation in the network system.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"80 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":"128604923","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":"Fault propagation analysis in software intensive systems: A survey","authors":"Shiyi Kong, Minyan Lu, Luyi Li","doi":"10.1109/ICRSE.2017.8030792","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030792","url":null,"abstract":"As with the increase of software complexity, software failure has become an important threat to the reliability of software intensive systems. Software fault propagation behaviors, which are prevalent in complex software systems, have a ubiquitous influence on software reliability design and evaluation process. Software fault propagation is a necessary condition for the failure of complex software systems. It is of great significance to investigate it to improve the reliability of software systems. This paper investigates existing software fault propagation analysis methods and gives a taxonomy of existing fault propagation analysis methods, which can be used to understand these methods well. After that, several typical fault propagation analysis methods are introduced according to different analysis levels. This survey also finds that researchers tend to use methods which have a high degree of abstraction, such as entropy measurement, complex network methods, and system engineering methods, to deal with the fault propagation analysis in software intensive systems. Finally, several shortcomings are listed and the future trends of fault propagation analysis are emphasized.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"62 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":"116702427","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":"Quantitative reliability analysis method for power systems with multi-level standby structure based on GO method","authors":"Lei Chen, X. Yi, P. Lu, Tao Ma, P. Hou","doi":"10.1109/ICRSE.2017.8030765","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030765","url":null,"abstract":"This paper proposes a quantitative reliability analysis method for power systems with multi-level standby structure based on GO method. First, the GO model used to describe the multi-level standby structure is proposed. Then, the reliability analysis process for such systems based on GO method is formulated. Finally, the proposed GO method is applied in reliability analysis of AC power system for single unit with 100% capacity divisions in nuclear power plant. In order to verify the feasibility, advantage and reasonable of the proposed GO method, its analysis result compared with the analysis result of GO method without considering standby correlations among the multi-level standby structure. All in all, this study provides guidance of reliability analysis for power systems with multi-level standby structure.","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":"116934154","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":"Dynamic scheduling of carrier aircraft based on improved ant colony algorithm under disruption and strong constraint","authors":"Qiang Feng, Wenjing Bi, Bo Sun, Yi Ren","doi":"10.1109/ICRSE.2017.8030782","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030782","url":null,"abstract":"Aircraft scheduling is a typical dynamic scheduling problem when carrying out certain missions. Due to unfixed mission, disruption and limited time, space and resources, aircraft scheduling generally has strong constraint and many uncertainties. In this paper, we propose an improved direct graph to describe the complex scheduling process. We add the temporary point to deal with the strong constraint, and all disturbance are processed as the occupation of nodes and path. The objectives for planning scheduling strategies to shift the aircrafts among nodes on direct graph containing the occupancy with better scheduling efficiency, cost and reliability. Then, we given an optimal algorithm based on improved ant colony optimization (ACO) to find optimal scheduling strategy. Finally, with a simple case, the effectiveness of the model and algorithm is verified. And the given algorithm can basically solve path planning and resource allocation problems for the scheduling system which is often influenced by uncertain disturbances. And in the scheduling process, we reduce the waste of resources, get rid of conflicts in using, and increase the reliability as much as possible.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"41 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":"131896959","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":"Identify the consistency of failure mechanisms from accelerated degradation data","authors":"Yuan Zhou, Weimin Lv","doi":"10.1109/ICRSE.2017.8030768","DOIUrl":"https://doi.org/10.1109/ICRSE.2017.8030768","url":null,"abstract":"Accelerated degradation test is an efficient approach to evaluate the reliability of degradation products. An effective accelerated test must guarantee that the failure mechanisms of product under all accelerated stresses are consistent with that under the normal stresses. Otherwise, the reliability of product under the normal stresses cannot be accurately extrapolated from accelerated degradations data. A method of identifying the consistency of failure mechanism is proposed, in which an inverse Gaussian process is used to model accelerated degradation data. First, the acceleration factor constant principle was applied to deduce the changing rules of model parameters with accelerated stresses. Then, the parameter estimates were evaluated from accelerated degradation data by maximum likelihood estimation method. If the parameter estimates obey the changing rules, the failure mechanisms are considered to be consistent, otherwise not. Next, a hypothesis method based on t statistic was developed to verify whether the parameter estimates obey the changing rules or not. Besides, a validation test was designed to assess the performance of the identification method, and a case study was provided to demonstrate the effectiveness and usefulness of the method.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"10 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":"130032934","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}