Joseph Armas, P. Navas, Tatiana Mayorga, Paola Rengifo, Byron Arévalo
{"title":"Optimization of code lines and time of access to information through object-relational mapping (ORM) using alternative tools of connection to database management systems (DBMS)","authors":"Joseph Armas, P. Navas, Tatiana Mayorga, Paola Rengifo, Byron Arévalo","doi":"10.1109/ICSRS.2017.8272872","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272872","url":null,"abstract":"The present article presents a comparison between technologies used in the development of C# language systems for access to information in database management systems. The method used has been the classic for the input of information with some steps of data persistence to perform the modeling of information with the use of objects. The mapping scheme is directly related to the object schema and to the relational schema. This method of relational object mapping provides a reduction in the times within the development of applications and the abstraction of the database, through the reuse of the code and safe processes that have been obtained thanks to the own language of the tools of mapping. It is concluded after a thorough study of the two techniques that with relational object mapping the response time is optimized in relation of 10 to 1, in addition, the number of lines of code used to implement a system developed with a mapper is significantly smaller, reasons why it has become very popular the use of alternative tools like the one studied.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220481","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":"Distributed fault estimation for multi-agent systems using relative measurements — Distributed adaptive observer approach","authors":"Behzad Sinafar, H. Kharrati, M. Baradarannia","doi":"10.1109/ICSRS.2017.8272879","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272879","url":null,"abstract":"In this paper, a distributed adaptive fault estimation strategy for multi-agent systems based on the relative output measurements is proposed. First, a novel fully distributed observer is designed in which relative state is estimated only having access related output and neighbors input signal. Then using the distributed observer, an adaptive fault estimator is proposed based on the relative output estimation error. It is provided that the relative state observer error is asymptotically stable. Moreover, similar to the existing works a transformed form of the fault estimation error is proven to be asymptotically stable which is drawn from the observable subspace of network dynamics. This transformation is related to the network topology. The results on the stability of the proposed theorems are in LMI form which is easily solvable in comparison to existing works. Finally, a numerical example is given to verify the effectiveness and superiority of the proposed method using only relative output measurements.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823997","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":"Handling epistemic uncertainty in fault trees: New proposal based on evidence theory and Kleene Ternary decision diagrams","authors":"F. Innal, A. Rauzy, Y. Dutuit","doi":"10.1109/ICSRS.2017.8272848","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272848","url":null,"abstract":"Fault tree (FT) is the most used approach in reliability and safety studies. In most cases, the quantification of the FT top event is carried out either (i) without considering uncertainties associated with the basic events probability distribution parameters (assuming single-valued parameters) or (ii) using Monte Carlo analysis (MC) to account for that uncertainties (using probability density function (pdf)). However, MC approach may be inappropriate to characterize parameter uncertainties (epistemic uncertainty) for the case where the available data are poor. For that case, interval-valued information (supplied by experts) related to the considered parameters is more suitable than the MC approach. Within this framework, the present paper propose a new approach addressing epistemic uncertainty in FT based on coupling Dempster-Shafer Theory (DST, also known as Evidence Theory) and the Kleene Ternary Decision Diagrams (Kleene-TDDs). Indeed, DST is used to characterize epistemic uncertainty at basic events level, whereas Kleene-TDDs make it possible to propagate that uncertainty through the fault tree gates up to the top event.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114431919","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":"myFRAM: An open tool support for the functional resonance analysis method","authors":"R. Patriarca, G. D. Gravio, F. Costantino","doi":"10.1109/ICSRS.2017.8272861","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272861","url":null,"abstract":"Innovative risk and safety management models and methods are necessary for the analysis of modern socio-technical systems, which are increasingly more complex. In this context, the Functional Resonance Analysis Method (FRAM) is a recently introduced approach to deal with system's complexity, mainly for risk-related purposes. Currently, the only available IT tool for developing a FRAM analysis is the FRAM Model Visualizer (FMV), which has a static graphical-oriented structure. This paper presents the first functional version of a new open IT tool — myFRAM — developed to support the building process of a FRAM model. myFRAM helps risk and safety analysts to deal with the complexity of the representation of socio-technical systems and generate multiple support analyses. myFRAM takes advantage of FMV for graphically depicting the traditional hexagon-based model, but also allows managing data to perform a number of different analyses in an Excel-based environment. This first version can already help safety analysts in developing and exploring a FRAM model in a systematic way, and we are confident that myFRAM may become a powerful tool support for the FRAM.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"314 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115770199","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 fleet-level selective maintenance model for long-distance highway transportation considering stochastic repair quality","authors":"Lan Peng, Lin Ma, Naichao Wang","doi":"10.1109/ICSRS.2017.8272847","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272847","url":null,"abstract":"This paper addresses the fleet-level selective maintenance multi-objective optimization problem in a truck fleet, carrying out long-distance highway transportation mission with scheduled stops in highway service area. Based on the waiting strategies in the service area, two scenarios have been considered in the model. To prevent the unwanted break downs on the highway, selected maintenance action will be performed with stochastic repair quality. The novelty of the work lies in the establishment of the dependent maintenance time windows model for the fleet-level selective maintenance problem. The objective functions include mission reliability, preventive repair cost and gap time. Furthermore, a NSGA-II based algorithm was proposed for the multi-objective optimization and a case study was presented.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124747925","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 improvements for automation systems","authors":"Vincent Debieux, T. Sivanthi, Y. Pignolet","doi":"10.1109/ICSRS.2017.8272815","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272815","url":null,"abstract":"Automation systems occupy an important place in todays industry, from manufacturing to electrical grid protection and control and much more. They perform complex functions with high reliability requirements. The reliability analysis of such systems is a demanding task for the system engineers. Consequently efficient means to compute the reliability and ways to automatically suggest reliability improvements are needed. To this end, we propose two methods for automatic suggestion of reliability improvements based on duplication and upgrades of automation and communication equipment. The first method identifies critical devices in the system to improve reliability in a greedy manner and the second method recommends reliability improvements using a genetic algorithm. Both methods are evaluated on synthetic and real automation networks topologies, and they identify reliability improvement solutions in a timely manner.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122788784","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":"Analysis of the effect of mass events on car traffic in the city in the daily interval","authors":"M. Ziemska, L. Smolarek","doi":"10.1109/ICSRS.2017.8272876","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272876","url":null,"abstract":"The city of Gdynia is more and more often the organizer of various mass events. Numerous events have a positive coefficient for the city as a tourist region but unfortunately negative for residents in terms of traffic conditions during the event. In order for the city to live well, urban traffic engineers are trying to match light signals or detours to overcome the negative impact. Bad influence should be as low as possible. Using the data from Tri-City Intelligent Motion Control System — TRISTAR. Intelligent transportation system gives information about traffic in real time and also has a huge data base records from the past. From that data base ARIMA models were created. The models show the impact of increased traffic caused by a mass event in June 2017. ARIMA models could show the differences between days with and without evens to give important predict for the future situations.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278129","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}
Jiale Zhou, Kaj Hänninen, K. Lundqvist, Luciana Provenzano
{"title":"An ontological approach to identify the causes of hazards for safety-critical systems","authors":"Jiale Zhou, Kaj Hänninen, K. Lundqvist, Luciana Provenzano","doi":"10.1109/ICSRS.2017.8272856","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272856","url":null,"abstract":"Preliminary hazard analysis (PHA) is a key safety-concerned technique, applied in early stages of safety critical systems development, aiming to provide stakeholders with a general understanding of potential hazards together with their causes. Various studies have asserted that most significant flaws in hazard analysis techniques are related to the omission of causes associated with the identified hazards. In addition, identified causes are sometimes described in too generic terms to provide useful guidance for subsequent activities. In this paper, we propose an approach to explore and identify the causes associated with the hazards from a PHA, aiming to improve the results of hazard causes identification in terms of completeness and usefulness. To achieve the goal, the proposed approach utilizes the hazard-related concepts and relations defined in a hazard domain ontology presented in our previous work [1]. Furthermore, an application scenario of a train control system is used to evaluate our approach.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384154","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":"Maximum likelihood ensemble filter state estimation for power systems fault diagnosis","authors":"Muhammed Akif Ulker, B. Uzunoğlu","doi":"10.1109/ICSRS.2017.8272810","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272810","url":null,"abstract":"Maximum Likelihood Ensemble Filter (MLEF) is a deterministic filtering approach that employs the ensembles. The method applies low dimensional ensemble space for the computation of a nonlinear cost function Hessian preconditioning and implements the optimization of the cost function. The MLEF is utilized as state estimation instrument that estimates states of dynamic systems and contributes to reliable and safe operation and monitoring of dynamic systems. In this article, MLEF is employed as a state estimation tool to track the states of a nonlinear power system to assist the fault diagnosis and bad data analysis of the system. A three-node benchmark power system model is considered in this study and a disconnection event is implemented as a fault scenario on the system with measurement data which contains some bad data. The scenario refers to a discontinuous problem which has non-derivable points and this is contrary to gradient based techniques. The MLEF practice on the introduced problem is examined and the results are illustrated. The obtained results shows that the estimation convergence of the MLEF technique on the considered benchmark model is satisfactory.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127180425","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":"System reliability analysis with in-house and outsourced components","authors":"Zhen Hu, Xiaoping Du","doi":"10.1109/ICSRS.2017.8272811","DOIUrl":"https://doi.org/10.1109/ICSRS.2017.8272811","url":null,"abstract":"Outsourcing is a common practice for product development, but it also poses a challenge in system reliability prediction. Design details of outsourced components may not be available for system designers, making the system reliability prediction difficult. This paper discusses how to use a physics-based reliability approach to accurately predict system reliability for systems with both outsourced and in-house components. The accuracy is achieved by removing the assumption of independent component states. The idea is demonstrated with systems whose failures are caused by excessive loading. For system designers, physics-based limit-state functions are available for in-house components, and they also have reliability testing data provided by suppliers of outsourced components. Then system designers construct limit-state functions using the testing data for the outsourced components. With all the component limit-state functions available, the joint probability density function of the states of all the components in the system becomes available, resulting in accurate system reliability prediction. An engineering example is provided to demonstrate the proposed method.","PeriodicalId":161789,"journal":{"name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126117182","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}