Reliability Analysis of Complex NASA Systems with Model-Based Engineering

The emergence of model-based engineering, with Model- Based Systems Engineering (MBSE) leading the way, is transforming design and analysis methodologies. The recognized benefits to systems development include moving from document-centric information systems and document-centric project communication to a model-centric environment in which control of design changes in the life cycles is facilitated. In addition, a single source of truth about the system, that is up-to-date in all respects of the design, becomes the authoritative source of data and information about the system. This promotes consistency and efficiency in regard to integration of the system elements as the design emerges and thereby may further optimize the design. Therefore Reliability Engineers (REs) supporting NASA missions must be integrated into model-based engineering to ensure the outputs of their analyses are relevant and value-needed to the design, development, and operational processes for failure risks assessment and communication

Towards a Holistic, Total Engineering Cost Model

In this paper, we explore a new approach for a unified and interdisciplinary model for estimating the total engineering effort in developing and delivering a parametric software-intensive complex system. We begin by reviewing some of the limitations of using existing engineering discipline-focused tools for estimating total engineering cost and by articulating the benefits of such a holistic model. Applying a two step method combining heuristic analysis and data validation, we propose three hypotheses to expand the basic cost estimating relationship of COSYSMO, a systems engineering model, to the total engineering scope by including software size drivers. The implementation of the hypotheses and the validation approach are also discussed. We conclude the discussion by outlining the future work required to realize such a model and to apply it to supporting successful system development endeavours

MATDB ONLINE—A STANDARDS-BASED SYSTEM FOR PRESERVING, MANAGING, AND EXCHANGING ENGINEERING MATERIALS TEST DATA

With ICT Standards playing a key role in support of research and development in many disciplines, the European Commission Institute for Energy and Transport is keen to promote the development and adoption of ICT Standards for engineering data. In this respect, its MatDB Online facility is a Standards-based system for preserving, managing, and exchanging engineering materials test data. While MatDB Online has evolved over more than 30 years to incorporate the latest innovations in data preservation and exchange, such as XML-based data transfer and data citation using digital object identifiers, it continues to rely on a robust data model developed more than 30 years ago through the joint efforts of the National Research Institute for Metals (the predecessor to NIMS, the National Institute for Materials Science), the European Commission Joint Research Centre, and the National Institute of Standards and Technology. While this data model has endured over many years, there is no corresponding Standard. Similarly, related efforts by the engineering materials community to deliver a Standard representation for engineering materials, such as MatML, have failed to be ratified. In consequence of the continued absence of a Standard representation for engineering materials data, there is no common mechanism for preserving and exchanging materials data and no formal means of maintaining a data model to support advances in materials technology, such as the emergence of nanomaterials. It is for these reasons that the European Commission Institute for Energy and Transport is supporting SERES, a CEN Workshop on Standards for Electronic Reporting in the Engineering Sector. As one of more than thirty organisations supporting the SERES Workshop, the Institute for Energy and Transport will make the MatDB XML schema available as one of several resources that will be taken into consideration when the prenormative Standard for representing engineering materials data is formulated. With the participation of the Institute for Energy and Transport in the SERES Workshop taking place in parallel with a related project with Oak Ridge National Laboratory, there is good reason to expect that a Standard representation for engineering materials, which has so far eluded the materials community, will be realised. This paper describes MatDB support for engineering materials Standards and related innovative features.JRC.F.4-Nuclear Reactor Integrity Assessment and Knowledge Managemen

Perancangan Model Simulasi Sistem Pencatatan Data Otomatis Menggunakan RFID pada Proses Assembling (Studi Kasus: Laboratorium Teknik Industri UMS)

Data recording system in the assembling area which still done manually in many cases, is deemed to be ineffective because it will take a longer time to process the data. Moreover, the process of recording data manually tends to have a higher potential of error, because the process relies heavily on the accuracy of the operators who perform the data recording. Therefore, it is necessary to process the data recording automatically. The purpose of the implementation of this research is to design a model of a simplification of the real system in the manufacturing industry into a laboratory-scale system Department of Industrial Engineering University of Muhammadiyah Surakarta, identifying the system requirements for the application of automated data recording system (automatic data capture) using RFID, as well as designing activities simulation data recording automatically (automatic data capture) using RFID, which is carried out at the Laboratory of Industrial Engineering Department of the University of Muhammadiyah Surakarta. Research on automatic data recording system is implemented by modeling the system. Modeling process begins by conceptualizing the model, namely the inductive approach, by observing a number of symptoms individually, and then formulates it in draft form. Similarly, with this study, in which symptoms occur in assembling activities in a manufacturing industry becomes a reference of the model to be created. After successfully model the state of the real system, then the stages of verification and validation of the model. Results of this study were successfully modeled 4 types of automated data recording system. Such as determining the type of major components, determining the type of supporting components, determining the number of components in the store, as well as error detecting while input the component. Fourth system is then designed into a program using RFID automatic data recording. Keywords

Reliability Analysis of Complex NASA Systems with Model Based Engineering

The emergence of model-based engineering, with Model- Based Systems Engineering (MBSE) leading the way, is transforming design and analysis methodologies. The recognized benefits to systems development include moving from document-centric information systems and document-centric project communication to a model-centric environment in which control of design changes in the life cycles is facilitated. In addition, a single source of truth about the system, that is up-to-date in all respects of the design, becomes the authoritative source of data and information about the system. This promotes consistency and efficiency in regard to integration of the system elements as the design emerges and thereby may further optimize the design. Therefore Reliability Engineers (REs) supporting NASA missions must be integrated into model-based engineering to ensure the outputs of their analyses are relevant and value-needed to the design, development, and operational processes for failure risks assessment and communication

Computation of Electric Energy Exchange between two Power Systems

The expected energy exchange between cooperating systems is an important information supporting capacity expansion planning for electric power systems. A model based on engineering considerations and a program system on IBM/PC-XT or AT compatibles has been developed for the stochastic analysis of the electric energy exchange between two interconnected power systems. Data required for the analysis are expected generation and load in the individual systems, and interties data. This work has been carried out in the frame of the IIASA Contracted Study "Modeling of interconnected power systems"

Bidirectional transformation of model-driven spreadsheets

Lecture Notes in Computer Science Volume 7307, 2012Spreadsheets play an important role in software organizations. Indeed, in large software organizations, spreadsheets are not only used to define sheets containing data and formulas, but also to collect information from diferent systems, to adapt data coming from one system to the format required by another, to perform operations to enrich or simplify data, etc. In fact, over time many spreadsheets turn out to be used for storing and processing increasing amounts of data and supporting increasing numbers of users. Unfortunately, spreadsheet systems provide poor support for modularity, abstraction, and transformation, thus, making the maintenance, update and evolution of spreadsheets a very complex and error-prone task. We present techniques for model-driven spreadsheet engineering where we employ bidirectional transformations to maintain spreadsheet models and instances synchronized. In our setting, the business logic of spreadsheets is defined by ClassSheet models to which the spreadsheet data conforms, and spreadsheet users may evolve both the model and the data instances. Our techniques are implemented as part of the MDSheet framework: an extension for a traditional spreadsheet system.(undefined

On Developing and Validating Dynamic Systems: Simulation Engineering.

Dynamic systems, where the behaviour is the dominant characteristic, pose engineering challenges that are often neglected in model-based software engineering. However, supporting simulation development from design models is important in demonstrating that a simulator and simulation experiments are fit for their intended purpose. In engineering agent-based simulations, observable system behaviour is built up from the behaviour of low-level components; such simulations are used as research tools in (for instance) biological systems research. We have found that domain experts can validate diagrammatic models of behaviour and accompanying text, but we need model-based software development, and ideally automatable model transformation, to maintain fitness for purpose into code and experimentation. We present an exploration of behavioural model transformation, devising and applying manual transformation guidelines to an existing, published Java Mason simulator, created using the CoSMoS approach and UML-style state diagrams. We succeed in recreating part of the class structure of the code, but also expose many issues to be overcome, in terms of what needs to be modelled to enable transformation, and how and when design decisions are taken and documented. We also identify the need to generate the creation of low-level simulation, visualisation, and data capture mechanisms, and a means to design and encode simulation experimentation