For some years now, digitalization has made its way into all phases of the product life cycle. With the help of the modeling language SysML, model-basedsystems engineering (MBSE) represents a modern approach in produ...
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For some years now, digitalization has made its way into all phases of the product life cycle. With the help of the modeling language SysML, model-basedsystems engineering (MBSE) represents a modern approach in product development. At the same time, the technologies of Industrie 4.0 and digital twin are opening up a new level of efficiency to producing companies. But entertainment technology is also finding its way into business: Virtual Reality (VR) provides an immersive and cost-effective way to perceive products in the early stages of product development. In order to provide these with quickly available data for display and simulation, it is worthwhile to expand the MBSE approach. This work describes how a product model can be extended by a simulative function structure. On the one hand, this work describes how the Cameo systemmodeler can be used to extend a product model with a simulative functional structure. On the other hand, it explains how to extend an existing product model by modeling the information required to efficiently and consistently translate an engineering Bill of Materials (EBOM) into a Manufacturing Bill of Materials (MBOM).
Operationally Embedded Control systems (OECS), such as Flight Guidance and Control systems (FG&CS), are characterized by real-time stimulus-response behavior. The OECS generates commands to "plant" actua...
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ISBN:
(数字)9781624106101
ISBN:
(纸本)9781624106101
Operationally Embedded Control systems (OECS), such as Flight Guidance and Control systems (FG&CS), are characterized by real-time stimulus-response behavior. The OECS generates commands to "plant" actuators based on emerging situations in the operational environment. An OECS is certified as "airworthy" when the functional design is considered complete such that an appropriate behavior for all operational situations is specified. Although Artificially Intelligent (AI) OECS can be developed more rapidly with Machine Learning (ML) than with traditional manual OECS development, analysis found that AI OECS exhibit gaps in the design of the functional behavior. Specifically, the AI OECS designs are either missing operational situations, or missing appropriate mapping of operational situations to behaviors. These two design issues are well-known issues in manual engineering and have been addressed with "model-checking" in model-basedsystemengineering (MBSE) tools. This paper describes a unique OECS development process that joins Explainable Machine Learning (X-ML) for OECS development with model-basedsystemengineeringmodels and tools. A preliminary OECS functional model is generated by X-ML in a format that is compatible with MBSE functional behavior models. The MBSE model-checking tools are then used to identify and design the missing functional behavior. The MBSE functional behavior model can be used to generate code and for proof of compliance for certification. This collaborative process can significantly shorten the OECS development time while maintaining high standards of design quality.
Airworthiness certification is to ensure the safety of aircraft. With the surge in novel general aviation aircraft configurations and technologies, the Federal Aviation Administration replaced prescriptive design requ...
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ISBN:
(数字)9781624105890
ISBN:
(纸本)9781624105890
Airworthiness certification is to ensure the safety of aircraft. With the surge in novel general aviation aircraft configurations and technologies, the Federal Aviation Administration replaced prescriptive design requirements with performance-based airworthiness standards in Federal Aviation Regulations Part 23 that governs the airworthiness of normal category airplane. The amendment ported over the accepted means of compliance (MoC) from prescriptive advisory circulars to a number of consensus standards from aviation community. Because these MoCs are scattered in multiple documents and cross-reference one another, the certification practice with this new format may be cumbersome and *** paper proposes a model-basedsystemengineering (MBSE) approach that is envisioned to parametrically transform the document-centric exercise to model-based process. The approach helps collect the FAR-23 regulations and the associated MoC in an integrated systemmodel along with the relevant mappings between them. This allows users to automatically generate a compliance checklist for any specific certification requirement. Other benefits of the MBSE approach include circular referencing check, automatically propagating any future changes to the FARs or MoC standards through the model, and potential incorporation with early aircraft design.
Warehouses perform series of interacting processes. Each process includes sub-processes and requires different resources. This structure makes warehouses complex-system or system-of-system (SOS) from design perspectiv...
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Warehouses perform series of interacting processes. Each process includes sub-processes and requires different resources. This structure makes warehouses complex-system or system-of-system (SOS) from design perspective. model based system engineering (MBSE) facilitates SOS design. On the other hand, object-oriented modeling (OO) is a well-known approach for capturing complexity of software systems. This paper aims leveraging conceptual design of warehouse, by applying OO in MBSE. In this context, warehouse is analyzed with respect to abstract processes which transform item status/unit. Afterwards, warehouse logical architecture is designed using these processes. Introduced approach develops coherent meta-model for generating design alternatives in conceptual design stage. Crown Copyright (C) 2016 Published by Elsevier B.V.
Warehouses perform series of interacting processes. Each process includes sub-processes and requires different resources. This structure makes warehouses complex-system or system-of-system (SOS) from design perspectiv...
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Warehouses perform series of interacting processes. Each process includes sub-processes and requires different resources. This structure makes warehouses complex-system or system-of-system (SOS) from design perspective. model based system engineering (MBSE) facilitates SOS design. On the other hand, object-oriented modeling (OO) is a well-known approach for capturing complexity of software systems. This paper aims leveraging conceptual design of warehouse, by applying OO in MBSE. In this context, warehouse is analyzed with respect to abstract processes which transform item status/unit. Afterwards, warehouse logical architecture is designed using these processes. Introduced approach develops coherent meta-model for generating design alternatives in conceptual design stage.
This paper proposes a method for leveraging large language models (LLMs) to improve the question-answering capabilities of artificial intelligence (AI) assistants for tradespace exploration. The method operates by que...
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This paper proposes a method for leveraging large language models (LLMs) to improve the question-answering capabilities of artificial intelligence (AI) assistants for tradespace exploration. The method operates by querying an information space composed of fused data sources encompassing the tradespace exploration process and responding based on the gathered information. The information retrieval process is modeled as an internal dialog where an LLM-based dialog agent converses with a subquery answering agent. A case study is conducted on a next-generation soil moisture mission (SM-NG), and a generative AI assistant (named Daphne-G) is configured on it. The effect of the dialog agent and the choice of LLM are assessed by comparing the performance of three different system configurations on a validation question set. A second validation effort is conducted, comparing Daphne-G's responses to those of a baseline template-based AI assistant, Daphne-VA. Results show that the dialog-basedsystem is necessary for answering complex questions requiring multiple documents. Furthermore, results show that Daphne-G can correctly answer all the questions Daphne-VA can answer, while simultaneously being able to answer a greater number of questions than Daphne-VA. The results suggest that LLMs could significantly improve the outcomes of the tradespace exploration process, which may result in better and more cost-effective mission concepts being implemented.
The development of Integrated Modular Avionics (IMA) has revolutionized the avionics industry by allowing multiple functions to be present on the same General Processing Module instead of only a single function per li...
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The development of Integrated Modular Avionics (IMA) has revolutionized the avionics industry by allowing multiple functions to be present on the same General Processing Module instead of only a single function per line-replaceable unit in federated avionics architectures. However, the diversity in IMA solutions limits the portability of applications, which eventually led to the development of IMA standards and guidelines. One such standard is ARINC 653, which outlines, among others, the necessary data for specifying any ARINC 653 configuration. To meet the requirements set by aforementioned standards, this paper proposes a model-Driven Development approach for engineering ARINC 653-compliant avionics configurations. The authors present a setup for automated configuration, verification, and validation of such configurations. The approach involves the use of MATLAB, system Composer, and Simulink for modeling and configuring the system, as well as generating ARINC 653-compliant configurations in XML format. The paper further exemplifies the approach for modeling and automatically configuring ARINC 653-compliant systems and highlights the potential for system verification and validation at both the design and software implementation stages. The results show that model-driven engineering of ARINC 653-compliant avionics architectures is a viable way to automate the engineering process and increase the quality of the system.
A major challenge in developing novel aircraft concepts is demonstrating the safety of increasingly complex and multifunctional aircraft systems. Aircraft manufacturers are adopting model-basedsystems engineering app...
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A major challenge in developing novel aircraft concepts is demonstrating the safety of increasingly complex and multifunctional aircraft systems. Aircraft manufacturers are adopting model-basedsystems engineering approaches to develop these new aircraft. The safety assessment process follows suit with model-based safety assessment. However, system and safety engineers still transfer information that is mainly document-based during the system architecting process. This paper aims to improve this process. First, a framework for developing system architecture specification models is introduced using the Architecture Analysis and Design Integrated Approach (ARCADIA)/Capella methodology and tool, illustrated with an aircraft landing gear braking system. Secondly, the paper proposes enhancements to the system specification model to enable functional hazard assessment and to capture the results within the system architecture specification model, i.e., using color-coding of system functions according to the severity of their associated failures as a visual aid to the system architect. In addition, the proposed features in the system specification model can help the safety engineer analyze failure relationships better. In summary, the proposed method improves consistency between the system architect and the safety expert in making safety-informed architecting decisions early in the development process, improving its effectiveness.
Current trends in the aerospace industry for the digitization of data, tools, and services call for novel solutions that can keep track of the latest technological advancements. Moreover, the increasing drive toward m...
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Current trends in the aerospace industry for the digitization of data, tools, and services call for novel solutions that can keep track of the latest technological advancements. Moreover, the increasing drive toward model-based approaches imposes the use of models for the development of complex systems, such as satellites. New types of methods and tools are needed in order to manage the still-growing complexity of embedded systems and their corresponding models. This paper addresses issues related to space systems (in-service) operations and proposes a multimodel approach to address them. The multimodel approach aims at facilitating the task of operational diagnosis by creating a monitoring and diagnosis-dedicated systemmodel derived from existing system design (architecture, functional behavior, and safety) models. The purpose of the diagnosis-dedicated model is to enable the codesign of the system and its diagnosis tools in order to improve the performance of diagnosis activities and the system's availability. This paper demonstrates the interests of the suggested approach with regard to the limitations of current practices.
Two different metrics quantifying model and simulator predictive capability are formulated and evaluated;both metrics exploit results from conducted validation experiments where simulation results are compared to the ...
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Two different metrics quantifying model and simulator predictive capability are formulated and evaluated;both metrics exploit results from conducted validation experiments where simulation results are compared to the corresponding measured quantities. The first metric is inspired by the modified nearest neighbor coverage metric and the second by the Kullback-Liebler divergence. The two different metrics are implemented in Python and in a here-developed general metamodel designed to be applicable for most physics-based simulation models. These two implementations together facilitate both offline and online metric evaluation. Additionally, a connection between the two, here separated, concepts of predictive capability and credibility is established and realized in the metamodel. The two implementations are, finally, evaluated in an aeronautical domain context.
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