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Добірка наукової літератури з теми "Component-based software solutions"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Component-based software solutions"

Ryndin, Nikita Alexandrovich, and Sergey Vladimirovich Sapegin. "Component Design of The Complex Software Systems, Based On Solutions’ Multivariant Synthesis." International Journal of Engineering Trends and Technology 69, no. 12 (December 25, 2021): 280–86. http://dx.doi.org/10.14445/22315381/ijett-v69i12p233.

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Ali, Awad, Mohammed Bakri Bashir, Alzubair Hassan, Rafik Hamza, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, and Adil Yousif. "Design-Time Reliability Prediction Model for Component-Based Software Systems." Sensors 22, no. 7 (April 6, 2022): 2812. http://dx.doi.org/10.3390/s22072812.

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Анотація:

Software reliability is prioritised as the most critical quality attribute. Reliability prediction models participate in the prevention of software failures which can cause vital events and disastrous consequences in safety-critical applications or even in businesses. Predicting reliability during design allows software developers to avoid potential design problems, which can otherwise result in reconstructing an entire system when discovered at later stages of the software development life-cycle. Several reliability models have been built to predict reliability during software development. However, several issues still exist in these models. Current models suffer from a scalability issue referred to as the modeling of large systems. The scalability solutions usually come at a high computational cost, requiring solutions. Secondly, consideration of the nature of concurrent applications in reliability prediction is another issue. We propose a reliability prediction model that enhances scalability by introducing a system-level scenario synthesis mechanism that mitigates complexity. Additionally, the proposed model supports modeling of the nature of concurrent applications through adaption of formal statistical distribution toward scenario combination. The proposed model was evaluated using sensors-based case studies. The experimental results show the effectiveness of the proposed model from the view of computational cost reduction compared to similar models. This reduction is the main parameter for scalability enhancement. In addition, the presented work can enable system developers to know up to which load their system will be reliable via observation of the reliability value in several running scenarios.

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Al-Azzoni, Issam, Julian Blank, and Nenad Petrović. "A Model-Driven Approach for Solving the Software Component Allocation Problem." Algorithms 14, no. 12 (December 6, 2021): 354. http://dx.doi.org/10.3390/a14120354.

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The underlying infrastructure paradigms behind the novel usage scenarios and services are becoming increasingly complex—from everyday life in smart cities to industrial environments. Both the number of devices involved and their heterogeneity make the allocation of software components quite challenging. Despite the enormous flexibility enabled by component-based software engineering, finding the optimal allocation of software artifacts to the pool of available devices and computation units could bring many benefits, such as improved quality of service (QoS), reduced energy consumption, reduction of costs, and many others. Therefore, in this paper, we introduce a model-based framework that aims to solve the software component allocation problem (CAP). We formulate it as an optimization problem with either single or multiple objective functions and cover both cases in the proposed framework. Additionally, our framework also provides visualization and comparison of the optimal solutions in the case of multi-objective component allocation. The main contributions introduced in this paper are: (1) a novel methodology for tackling CAP-alike problems based on the usage of model-driven engineering (MDE) for both problem definition and solution representation; (2) a set of Python tools that enable the workflow starting from the CAP model interpretation, after that the generation of optimal allocations and, finally, result visualization. The proposed framework is compared to other similar works using either linear optimization, genetic algorithm (GA), and ant colony optimization (ACO) algorithm within the experiments based on notable papers on this topic, covering various usage scenarios—from Cloud and Fog computing infrastructure management to embedded systems, robotics, and telecommunications. According to the achieved results, our framework performs much faster than GA and ACO-based solutions. Apart from various benefits of adopting a multi-objective approach in many cases, it also shows significant speedup compared to frameworks leveraging single-objective linear optimization, especially in the case of larger problem models.

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Ojer, Marco, Hugo Alvarez, Ismael Serrano, Fátima A. Saiz, Iñigo Barandiaran, Daniel Aguinaga, Leire Querejeta, and David Alejandro. "Projection-Based Augmented Reality Assistance for Manual Electronic Component Assembly Processes." Applied Sciences 10, no. 3 (January 22, 2020): 796. http://dx.doi.org/10.3390/app10030796.

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Personalized production is moving the progress of industrial automation forward, and demanding new tools for improving the decision-making of the operators. This paper presents a new, projection-based augmented reality system for assisting operators during electronic component assembly processes. The paper describes both the hardware and software solutions, and depicts the results obtained during a usability test with the new system.

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El Kharboutly, Rehab, and Swapna S. Gokhale. "Efficient Reliability Analysis of Concurrent Software Applications Considering Software Architecture." International Journal of Software Engineering and Knowledge Engineering 24, no. 01 (February 2014): 43–60. http://dx.doi.org/10.1142/s0218194014500028.

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Architecture-based reliability analysis of software applications is gaining prominence as it can provide valuable guidance to software architects during early design phases. Concurrent component execution is common among modern software applications, and hence, reliability analysis considering concurrency within the context of software architecture is essential. Our preliminary analysis approach considering concurrency suffers from state-space explosion; due to which it cannot be applied to practical software applications. This paper proposes solutions to the model specification and solution challenges arising from the state-space explosion problem. The specification challenge is alleviated using the Stochastic Reward Net (SRN) modelling paradigm which can intuitively and concisely represent concurrent software architecture at a higher level of abstraction. The computational challenge is alleviated by aggregating the original state space. Our illustrations show that aggregation introduces only a small inaccuracy into the reliability estimate, and hence, preserves the utility of the original model to produce design guidance via sensitivity analysis.

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Hao, Ying Qi, and Si Qi Wang. "The Internal Stress Optimization of Structural Model Based on Super Finite Element Calculating Software." Applied Mechanics and Materials 353-356 (August 2013): 3334–40. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.3334.

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The structural optimization based on FE (Finite Element) software ANSYS is an emerging subject which is combines computational mechanics, mathematical programming, computer science and other engineering subject. Up to now, substantial research breakthroughs have been achieved in optimization theory. This essay is mainly about the theory analysis and internal stress optimization on the modal displayed on the contests of the Fifth National Structure Design Contest for College Student, including selection of basic components, size detail optimization of components. The optimization of structural stress is to find the optimal solutions while keep the variable within certain range. As for this paper, it is to find the optimal solution to mass while the internal stress, component size, load are under constrained. Finally, to ensure the safety of structure and component, analysis was made on the computation results.

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Mian, Riaz-ul-haque, Michihiro Shintani, and Michiko Inoue. "Hardware–Software Co-Design for Decimal Multiplication." Computers 10, no. 2 (January 27, 2021): 17. http://dx.doi.org/10.3390/computers10020017.

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Анотація:

Decimal arithmetic using software is slow for very large-scale applications. On the other hand, when hardware is employed, extra area overhead is required. A balanced strategy can overcome both issues. Our proposed methods are compliant with the IEEE 754-2008 standard for decimal floating-point arithmetic and combinations of software and hardware. In our methods, software with some area-efficient decimal component (hardware) is used to design the multiplication process. Analysis in a RISC-V-based integrated co-design evaluation framework reveals that the proposed methods provide several Pareto points for decimal multiplication solutions. The total execution process is sped up by 1.43× to 2.37× compared with a full software solution. In addition, 7–97% less hardware is required compared with an area-efficient full hardware solution.

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Nouri-Baygi, Mostafa. "The Computational Complexity of and Approximation Algorithms for Variants of the Component Selection Problem." International Journal of Foundations of Computer Science 29, no. 07 (November 2018): 1231–45. http://dx.doi.org/10.1142/s0129054118500314.

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In the past decades, there has been a burst of activity to simplify implementation of complex software systems. The solution framework in software engineering community for this problem is called component-based software design (CBSD), whereas in the modeling and simulation community it is called composability. Composability is a complex feature due to the challenges of creating components, selecting combinations of components, and integrating the selected components. In this paper, we address the challenge through the analysis of Component Selection (CS), the NP-complete process of selecting a minimal set of components to satisfy a set of objectives. Due to the computational complexity of CS, we consider approximation algorithms that make the component selection process practical. We define three variations of CS and present good approximation algorithms to find near optimal solutions. In spite of our creation of approximable variants of Component Selection, we prove that the general Component Selection problem is inapproximable.

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Ortiz, Francisco J., Carlos C. Insaurralde, Diego Alonso, Francisco Sánchez, and Yvan R. Petillot. "Model-driven analysis and design for software development of autonomous underwater vehicles." Robotica 33, no. 08 (April 29, 2014): 1731–50. http://dx.doi.org/10.1017/s0263574714001027.

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SUMMARYSoftware engineering plays a key role in state-of-the-art robotics where more effective and efficient software development solutions are needed for implementation and integration of advanced robotics capabilities. Component-based software engineering and model-driven software development are two paradigms suitable to deal with such challenges. This paper presents the analysis, design, and implementation of control software for an Autonomous Underwater Vehicle (AUV). The software development stages are carried out by using a model-driven toolchain that provides support to design and build component-based software for robotics applications. A case study of a high-performance AUV control application and experimental results from a software schedulability analysis are presented.

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MOLINA, MARTÍN, JOSÉ L. SIERRA, and JOSÉ CUENA. "REUSABLE KNOWLEDGE-BASED COMPONENTS FOR BUILDING SOFTWARE APPLICATIONS: A KNOWLEDGE MODELLING APPROACH." International Journal of Software Engineering and Knowledge Engineering 09, no. 03 (June 1999): 297–317. http://dx.doi.org/10.1142/s021819409900019x.

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In computer science, different types of reusable components for building software applications were proposed as a direct consequence of the emergence of new software programming paradigms. The success of these components for building applications depends on factors such as the flexibility in their combination or the facility for their selection in centralised or distributed environments such as internet. In this article, we propose a general type of reusable component, called primitive of representation, inspired by a knowledge-based approach that can promote reusability. The proposal can be understood as a generalisation of existing partial solutions that is applicable to both software and knowledge engineering for the development of hybrid applications that integrate conventional and knowledge based techniques. The article presents the structure and use of the component and describes our recent experience in the development of real-world applications based on this approach.

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Більше джерел

Дисертації з теми "Component-based software solutions"

Tkachuk, M. V., and Y. I. Pekhulia. "An adaptive prototyping approach to quality-aware software development." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/46576.

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Retelius, Philip, and Persson Eddie Bergström. "Creating a Customizable Component Based ETL Solution for the Consumer." Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296819.

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In today's society, an enormous amount of data is created that is stored in various databases. Since the data is in many cases stored in different databases, there is a demand from organizations with a lot of data to be able to merge separated data and get an extraction of this resource. Extract, Transform and Load System (ETL) is a solution that has made it possible to easily merge different databases. However, the ETL market has been owned by large actors such as Amazon and Microsoft and the solutions offered are completely owned by these actors. This leaves the consumer with little ownership of the solution. Therefore, this thesis proposes a framework to create a component based ETL which gives consumers an opportunity to own and develop their own ETL solution that they can customize to their own needs. The result of the thesis is a prototype ETL solution that is built with the idea of being able to configure and customize the prototype and it accomplishes this by being independent of inflexible external libraries and a level of modularity that makes adding and removing components easy. The results of this thesis are verified with a test that shows how two different files containing data can be combined.
I dagens samhälle skapas det en enorm mängd data som är lagrad i olika databaser. Eftersom data i många fall är lagrat i olika databaser, finns det en efterfrågan från organisationer med mycket data att kunna slå ihop separerad data och få en utvinning av denna resurs. Extract, Transform and Load System (ETL) är en lösning som gjort det möjligt att slå ihop olika databaser. Dock är problemet denna expansion av ETL teknologi. ETL marknaden blivit ägd av stora aktörer såsom Amazon och Microsoft och de lösningar som erbjuds är helt ägda av dem. Detta lämnar konsumenten med lite ägodel av lösningen. Därför föreslår detta examensarbete ett ramverk för att skapa ett komponentbaserat ETL verktyg som ger konsumenter en möjlighet att utveckla en egen ETL lösning som de kan skräddarsy efter deras egna förfogande. Resultatet av examensarbete är en prototyp ETL-lösning som är byggd för att kunna konfigurera och skräddarsy prototypen. Lösningen lyckas med detta genom att vara oberoende av oflexibla externa bibliotek och en nivå av modularitet som gör addering och borttagning av komponenter enkelt. Resultatet av detta examensarbete är verifierat av ett test som visar på hur två olika filer med innehållande data kan kombineras.

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Книги з теми "Component-based software solutions"

Enterprise application integration with CORBA: Component and Web-based solutions. New York: Wiley, 2000.

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Частини книг з теми "Component-based software solutions"

Gao, Jerry Zeyu, and Ye Wu. "Testing Component-Based Software – Issues, Challenges, and Solutions." In COTS-Based Software Systems, 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24645-9_2.

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Wu, Yihan, Gang Huang, Hui Song, and Ying Zhang. "Model Driven Configuration of Fault Tolerance Solutions for Component-Based Software System." In Model Driven Engineering Languages and Systems, 514–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33666-9_33.

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Jasmine, K. S. "Service-Oriented Architecture, Agile, Lean and Component-Based Software Engineering: Future Solutions for Cloud Computing." In Cloud Systems in Supply Chains, 66–83. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137324245_5.

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Zernadji, Tarek, Raida Elmansouri, and Allaoua Chaoui. "An Approach to Formal Specification of Component-Based Software." In Handbook of Research on E-Services in the Public Sector, 34–42. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-789-3.ch004.

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Анотація:

Current research on software reuse in Component Based Software Engineering (CBSE) covers a variety of fields, including component design, component specification, component composition, component-based framework. CBSE is quickly becoming a mainstream approach to software development and most researchers are hoping that it will be solutions to all the problems that led to software crisis. The software engineering techniques specific to this discipline, in phases such as modeling, verification or validation of component based software systems still insufficient and need more research efforts. ECATNets (Extended Concurrent Algebraic Term Nets) are frameworks for specification, modeling and validation of concurrent and distributed systems. They are characterized by their semantics defined in terms of rewriting logic. The objective of this article is to propose a formal specification of software components by using ECATNets formalism. The expected benefits of this work are: Offer a formal notation for describing the different features of concurrent and distributed software components; Defining a formal unambiguous semantic to describe behavior of the composed system.

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Oubahssi, Lahcen, and Monique Grandbastien. "E-learning systems reengineering." In Architecture Solutions for E-Learning Systems, 175–96. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-633-4.ch010.

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In this chapter we propose functional specifications and a component-based architecture for designing e-learning platforms. An important feature is that the proposed specifications and architecture are based on the experience gained in an e-learning company and result from a reengineering process. To guide the reengineering process, we used two reference models, which are the e-learning global process and the e-learning global cycle. The functional specifications are described according to the e-learning global cycle phases and they are used to propose a software component based architecture. The proposed kernel of components was completed with services to allow interoperability and standard compliance between several e-learning platforms. We hope that this case-study exemplifies e-learning platform suppliers’ needs and available pragmatic solutions. We conclude on foreseeable evolutions of e-learning actors needs and practices and on new platform features for fulfilling such needs.

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Kleist, Virginia Franke, Bonnie Morris, and James W. Denton. "Information Systems Security Assurance Management at Municipal Software Solutions, Inc." In Security and Privacy Assurance in Advancing Technologies, 67–74. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-200-0.ch006.

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Based on an actual company, this case focuses on Business Continuity Planning issues for a small but growing software company, Municipal Software Solutions, Inc. (MSS). The firm experienced a catastrophic fire which completely eliminated all aspects of the information systems infrastructure, including the software product code repository, the client access infrastructure, the hardware operations center, and the software design facility. Fortunately, no one was harmed, and the firm survived despite the fact that it did not have a formal disaster recovery plan in place. MSS was very lucky. The case can be used in conjunction with coverage of risk assessment concepts in the context of the availability component of systems reliability and trust of services management. Accordingly, it is appropriate for use in courses covering information systems security, accounting information systems, or IT audit.

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Olson, Andrew M., Rajeev R. Raje, Barrett R. Bryant, Carol C. Burt, and Mikhail Auguston. "UniFrame." In Service-Oriented Software System Engineering, 68–87. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-426-2.ch004.

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This chapter introduces the UniFrame approach to creating high quality computing systems from heterogeneous components distributed over a network. It describes how this approach employs a unifying framework for specifying such systems to unite the concepts of service-oriented architectures, a component-based software engineering methodology and a mechanism for automatically finding components on a network in order to assemble a specified system. UniFrame employs a formal specification language to define the components and serve as a basis for generating glue/wrapper code that connects heterogeneous components. It also provides a high level language for the system developer to use for inserting code in a created system to validate it empirically and estimate the quality of service it supports. The chapter demonstrates how a comprehensive approach, which involves the practicing community as well as technical experts, can lead to solutions of many of the difficulties inherent in constructing distributed computing systems.

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Chen, Ning. "Facilitating Design of Efficient Components by Bridging Gaps between Data Model and Business Process via Analysis of Service Traits of Data." In Enterprise Information Systems, 544–49. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-852-0.ch214.

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In many large-scale enterprise information system solutions, process design, data modeling and software component design are performed relatively independently by different people using various tools and methodologies. This usually leads to gaps among business process modeling, component design and data modeling. Currently, these functional or non-functional disconnections are fixed manually, which increases the complexity and decrease the efficiency and quality of development. In this chapter, a pattern-based approach is proposed to bridge the gaps with automatically generated data access components. Data access rules and patterns are applied to optimize these data access components. In addition, the authors present the design of a toolkit that automatically applies these patterns to bridge the gaps to ensure reduced development time, and higher solution quality.

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Puzio, Pasquale, Refik Molva, Melek Önen, and Sergio Loureiro. "Secure Deduplication with Encrypted Data for Cloud Storage." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 388–408. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8210-8.ch016.

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With the continuous increase of the number of users and the size of their data, data deduplication becomes a necessity for cloud storage providers. By storing a unique copy of duplicate data, cloud providers greatly reduce their storage and data transfer costs. The advantages of deduplication unfortunately come with a high cost in terms of new security and privacy challenges. In this chapter we propose ClouDedup, a secure and efficient storage service which assures block-level deduplication and data confidentiality at the same time. Although ClouDedup is based on convergent encryption, it remains secure thanks to the definition of a component that implements an additional encryption operation. Furthermore, as the requirement for deduplication at block-level raises an issue with respect to key management, we suggest to include a new component in order to implement the key management for each block together with the actual deduplication operation. In this chapter we show how we have implemented the proposed architecture, the challenges we have met and our solutions to these challenges.

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Manzer, A. "Process Integration Through Hierarchical Decomposition." In Enterprise Architecture and Integration, 92–106. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-887-1.ch005.

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A mechanism is presented to construct an enterprise process by integrating component processes. This approach supports the formation of value-added chains based on process models. Process representations in logical as well as physical levels are offered in a hierarchy as a graphical tool to support process integration. An enterprise represents a complex process that needs to be constructed within an engineering approach. Such construction is a matter of integration if component processes are made available by smaller enterprises. Process integration is supported by task-system formalism that may especially prove useful in the analysis of the preservation of process attributes during integration. Approaches using the decomposition of the problem definition have matured for various engineering disciplines in an effort to match definition pieces with previously built sub solutions. Among these disciplines, the techniques used in software engineering are exploited as this domain is closer to business process construction than the others.

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Тези доповідей конференцій з теми "Component-based software solutions"

Št࣫pán, Petr. "Design pattern solutions as explicit entities in component-based software development." In the 16th international workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2000292.2000295.

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Osakue, Edward E., Lucky Anetor, and Christopher Odetunde. "Reliability-Based Component Design." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50700.

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This paper uses the lognormal probability function to modify deterministic design equations into probabilistic design, thereby transforming the traditional safety factor into a reliability factor. The reliability factor is related to the coefficients of variation (covs) of design parameters and a failure probability. An approximation of the reliability factor for initial sizing is defined as probabilistic design factor. The serviceability design model parameters are treated as random variables characterized by mean values and covs. The cov of the design model is obtained by using first order Taylor series expansion. Multiple serviceability criteria such as bending strength, lateral torsional stability, transverse deflection, and fillet weld strength are considered. The results from this study compare favorably with previous ones and sometimes give solutions with lower weight. In the first example, the solution in the present approach deviates on the conservative side from the previous one by 2.6% for 99.9% reliability and 3.8% for 99.997% reliability. These results are practically the same, suggesting that the method presented is reasonable and accurate. In the second example, the beam in the new solution has 23.65% lower volume or weight and the weld bead volume is lower by 8.4%. This suggests possible substantial cost reductions. From the sizes of the beam and weld bead, it can be concluded that the “factor of reliability” approach of this study and the stochastic Monte Carlo simulation method used previously are in good agreement. Due to the very good results from the examples considered, it seems reasonable to say that the “factor of reliability” method presented is a satisfactory model. The approach has the advantage of being much less computationally intensive and requires no specialized software or skills. These features can lead to cost savings in design projects. Design sizes from this method may be used to create solid models which can be optimized using FEM (Finite Element Method). In addition, and from an instructional perspective, the method could be used to introduce undergraduate engineering students to probabilistic design approaches.

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Hou Vat, Kam. "Teaching Architectural Approach to Quality Software Development through Problem-Based Learning." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2583.

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This paper describes the initiative to incorporate the practice of quality software development (QSD) into our undergraduate curriculum concerning the engineering of software. We discuss how the constructivist’s method of problem-based learning (PBL) helps develop this QSD practice into our students’ daily learning. This paper expounds the idea of an architectural approach to building software solutions, which is supported by the industry’s emerging consensus that architectural components provide the kind of building blocks we need for developing today’s complex systems. Particularly, the technology of component-based development asks of us the required portions of productivity, quality, and rapid construction of software artifacts. Consequently, our pedagogic approach to QSD focuses on designing and building a sensible architecture characterized by objects of different services, which represent the cohesive collections of related functionality, accessed through some consistent interfaces that encapsulate the implementation. The paper outlines an QSD approach in terms of state-of-the-practice development processes modified for educational scenarios, through which our students could learn to acquire their collaborative software engineering experience in the current practice of architected application development. The paper concludes by discussing the criteria used to evaluate the working of the learning scenario and some lessons learned involved in incorporating PBL learning scenarios suitable for QSD.

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Tantra, Riko, and Glenn Y. Masada. "The Advisor, a Fuzzy Knowledge-Based System for Rapid Instrumentation and Control Using a Taguchi-Based Quality Function: Part I — Theory." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81499.

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A fuzzy knowledge-based software system, called The Advisor, is developed for mechanical designers to rapidly select instrumentation and control system solutions. Its knowledge-based system uses application constraints to select feasible solutions, and its fuzzy logic algorithms rank those solutions based upon user preferences. A new Quality Function, inspired by the Taguchi Quality Function, is proposed to combine quantitative and linguistic information in the fuzzy decision-making inference engine to better capture human tradeoff behavior in the equipment selection process. To date, a Motor Advisor and a Temperature Sensor Advisor have been developed and successfully tested. Part I of this paper presents the theory and methodology of The Advisor, its component algorithms to support the selection of motor systems, and the implementation of the new Quality Function in the Motor Advisor. Part II tests The Advisor in the selection of a load motor, motor driver, and motor controller in a motor failure design project.

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Shuanghui Yi and Bo Deng. "A solution to develop dependable component-based software." In 2011 2nd International Conference on Control, Instrumentation, and Automation (ICCIA). IEEE, 2011. http://dx.doi.org/10.1109/icciautom.2011.6184026.

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Yi, Shuanghui, and Bo Deng. "A Solution to Develop Dependable Component-Based Software." In 2013 2nd International Conference on Intelligent System and Applied Material. Ottawa: EDUGAIT Press, 2013. http://dx.doi.org/10.12696/gsam.2013.1012.

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Gill, Peter. "Probabilistic Leak Before Break Using the R6 Methodology." In ASME 2020 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/pvp2020-21769.

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Abstract The integrity of a component in a safety critical industry is determined by carrying out Engineering Critical Assessments (ECA). These are designed to provide a conservative estimate of the life of a component based on conservative inputs/methodology. It is becoming increasingly apparent that for many applications these methods are overly conservative. The only physical way to really assess the reliability of a component is by producing many thousands, if not millions of a specific component and calculating a failure probability based on testing/OPEX. This is simply not feasible for the components in, for example, a nuclear reactor, and probabilistic techniques are becoming increasingly important as a means to understand the reliability of a component. This information can then be used to assess risk and inform inspection programmes. Typically a probabilistic method relies on assigning distributions to various input parameters and evaluating a probability integral, usually by Monte-Carlo analysis. A previous PVP paper developed Monte Carlo methods using the R6 fracture mechanics procedure. Although providing good insight into the likelihood of failure, these analyses were simplified and not readily applied to realistic plant situations. Further development would enable much more of the technology contained within R6 to be applied within probabilistic software. The following new features of the software are presented in this paper: • the latest K and limit load solutions from R6 for through wall circumferential defects • Simplified V factor approach to account for secondary stresses • two phase flow (water) based on the latest SQUIRT methodology • global bending, through wall bending, weld residual stress This enables a full probabilistic leak detection calculation for circumferential through wall cracks in pipes. Examples of probabilistic Leak-before-Break calculations for PWR pipework are presented in the paper.

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Liao, Linxia, and Radu Pavel. "Machine Anomaly Detection and Diagnosis Incorporating Operational Data Applied to Feed Axis Health Monitoring." In ASME 2011 International Manufacturing Science and Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/msec2011-50211.

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Solutions for machinery anomaly detection and diagnosis are typically designed on an ad hoc, custom basis, and previous studies have shown limited success in automating or generalizing these solutions. Reusing and maintaining the analysis software, especially when the machine usage pattern or operating condition changes, remains a challenge. This paper outlines a strategy to make use of operational data obtained from the machine’s controller and signals obtained from external sensors to provide an accurate analysis within each operating condition. Operational data collected from the controller is used both for labeling datasets into different operating conditions and for analysis. Principal component analysis (PCA) is adopted to identify critical sensors that can provide useful information. Self-organizing map (SOM)-based anomaly detection and diagnosis methods are used to automatically convert data to easily understandable machine health information for operators. Experiment trials conducted on a feed-axis test-bed demonstrated the effectiveness of incorporating operational data for anomaly detection and diagnosis.

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Vucinic, Dean, Marina Pesut, Franjo Jovic, and Chris Lacor. "Exploring Ontology-Based Approach to Facilitate Integration of Multi-Physics and Visualization for Numerical Models." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86477.

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Today, within the engineering design process, we have interactions between different design teams, where each team has its own design objective and continuous need to present and share results with other groups. Common engineering environments are equipped with advanced modeling and simulation tools, specially designed to improve engineer’s productivity. In this paper we propose the use of ontologies, the semantic metadata descriptors, to facilitate the software development process in building such multidisciplinary engineering environments. The important development task is to perform integration of several numerical simulation components (models of data and processes) together with the interactive visualization of the engineering models in a unified 3D scene. In addition, we explore the possibilities on how the prototyped ontologies can become standard components in such software systems, where the presence of the inference engine grants and enables continuous semantic integration of the involved data and processes. The semantic integration is based on: 1) mapping discovery between two or more ontologies, 2) declarative formal representation of mappings to enable 3) reasoning with mappings and find what types of reasoning are involved; and we have explored these three dimensions. The proposed solution involves two web based software standards: Semantic Web and X3D. The developed prototype make use of the “latest” available XML-based software technologies, such X3D (eXtensible 3D) and OWL (Web Ontology Language), and demonstrates the modeling approach to integrate heterogeneous data sources, their interoperability and 3D visual representations to enhance the end-users interactions with the engineering content. We demonstrate that our ontology-based approach is appropriate for the reuse, share and exchange of software constructs, which implements differential-geometric algorithms used in multidisciplinary numerical simulations, by applying adopted ontologies that are used in the knowledge-based systems. The selected engineering test case represents a complex multi-physics problem FSI (Fluid Structure Interaction). It involves numerical simulations of a multi-component box structure used for the drop test in a still water. The numerical simulations of the drop test are performed through combined used of the FEM (Finite Element Method) and CFD (Computational Fluid Dynamics) solvers. The important aspect is the design of a common graphics X3D model, which combines the FEM data model, which is coupled with the CFD data model in order to preserve all the relationships between CFD and FEM data. Our ultimate vision is to build intelligent and powerful mechanical engineering software by developing infrastructure that may enable efficient data sharing and process integration mechanisms. We see our current work in exploring the ontology-based approach as a first step towards semantic interoperability of numerical simulations and visualization components for designing complex multi-physics solutions.

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Greis, Jan, Edwin Gobrecht, and Steffen Wendt. "Flexible and Economical Operation of Power Plants: 25 Years of Expertise." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68716.

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Within the last years the idea of running a conventional power plant has changed. Fluctuating power generation by solar power and wind parks creates a need for highly flexible backup power plants. This need quickly arose within the last 5 years and the market is still searching for a solution. Single steam turbine manufacturers can provide features to react more flexibly, quickly and to prolong component life time. Thus, considerable operating experience has already been in existence for many years. New highly efficient steam turbines are already equipped with solutions to serve an ambitious market. But also, for existing units, different modernization packages can be provided along with hardware and software modifications which allow power plants to supply power at a moment’s notice. This paper presents the overall approach and the possible field of application for the well-established features of Siemens steam turbines. Starting a power plant within a short time to fill the gap of fluctuating power generation is an important capability in order to participate in today’s and tomorrow’s energy market. A fully automated start-up procedure to avoid any delays contributes in fulfilling this requirement. Optimized component geometries guarantee the shortest start-up times. Furthermore, a parallel start-up of gas and steam turbines (Hot Start on the Fly) has already been proven for many years. Regarding flexibility, the improvement of start-up time is only one major aspect. Another important task is to provide the opportunity to influence scheduled maintenance outages. Therefore, steam turbines can be equipped with software which allows the customer to plan the power plant’s outages in accordance with single components requirements, e.g. GT outages. The lifecycle counter enables customers to evaluate the optimum between start-up time and life time consumption based on dynamic equivalent operating hours. In addition, fast cooling procedures help to keep outage times to a minimum.

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