Model-Based Engineering Design Pilots at JPL

Kordon, M.; Wall, S. D.; Stone, Howard A.; Blume, W.; Skipper, J.; Ingham, Michel D.; Chase, Jim; Baalke, R. C.; Hanks, D.; Salcedo, Jose; Solish, Benjamin; Postma, Marie; Machuzak, R.

doi:10.1109/aero.2007.353021

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…State Analysis, developed by Jet Propulsion Laboratory, uses a model and state-based control architecture. This approach intends to capture system and software requirements to facilitate system and software requirement implementation [9].…”

Section: Background and Literature Reviewmentioning

confidence: 99%

The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering

Diatte

O’Halloran

Bossuyt

2022

Systems

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Model-Based Systems Engineering (MBSE) methods have developed a strong foothold in the design space in industry. These methods have proven fruitful when the right method is applied to the right problem. Reliability, Availability, and Maintainability (RAM) is an equally important area. Currently, there is a gap in applying a methodology to integrate the two in the design process, particularly when the design is complex. This work attempts to provide a methodology that results in the successful integration of RAM and MBSE that can be used during the early phases of design. The methodology was developed after an extensive literature review, followed by the illustration of the methodology through an example of a steam turbine fuel system. Each step of the method is applied and explained in the illustrative example, to include figures, tables, and calculations demonstrating the effectiveness of the method, concluding with evidence for validation.

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Section: Background and Literature Reviewmentioning

confidence: 99%

The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering

Diatte

O’Halloran

Bossuyt

2022

Systems

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“…Various Model-Based System Engineering methodologies have been proposed in the literature. For instances, the methodology based on state analysis proposed by the Jet Propulsion Laboratory [50], the Object-process methodology (OPM) defined by (Dori 2011), the Model-Driven Architecture methodology from Object Management Group (OMG) [51] and the System Engineering ModelDriven (SEMD) pattern defined by [32]. Moreover, some research focuses on the interoperability domain specifically.…”

Section: Model-based System Engineering Approachesmentioning

confidence: 99%

An ontology for interoperability assessment: A systemic approach

Leal

Guédria

Panetto

2019

Journal of Industrial Information Integration

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Enterprise Interoperability is a requirement for ensuring an effective collaboration within a network of enterprises. Therefore, interoperability should be continuously assessed and improved for avoiding collaboration issues. To do so, an interoperability assessment can be performed by the concerned enterprises. Such an assessment provides an overview of the enterprise systems' strengths and weaknesses regarding interoperability. A plethora of assessment approaches are proposed in the literature. The majority of them focus on one single aspect of interoperability. In general, to have a holistic view of the assessed systems, i.e. consider different aspects, enterprises have to apply different approaches. However, the application of multiple approaches may cause redundancy and confusion when assessing the same system using different metrics and viewpoints. Therefore, this article is to propose an ontology for interoperability assessment. The main objective of such an ontology is to provide a sound description of all relevant concepts and relationships regarding an interoperability assessment. Inference rules are also provided for reasoning on interoperability problems. A case study based on a real enterprise in presented to evaluate the proposed ontology.

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“…CORE software is a collaborative environment with a single database repository. It provides an entity-relationship-attribute (ER) environment and the ability to develop and maintain a database schema where the user can define custom entities, attributes and relationships Herzog & Torne, 2000;Kordon et al, 2007;Merida & Saha, 2005). CORE software already provides an integrated schema in support of system engineering and it utilizes a model-based systems engineering (MBSE) approach (Estefan, 2007) in support of system requirements, design, analysis, verification, and validation activities.…”

Section: A Model-centric Approach To Sv Designmentioning

confidence: 99%

“…CORE software already provides an integrated schema in support of system engineering and it utilizes a model-based systems engineering (MBSE) approach (Estefan, 2007) in support of system requirements, design, analysis, verification, and validation activities. Due to its adaptive modeling schema (Kordon et al, 2007;, CORE software provides a powerful ER data modeling environment for capturing the SV Engineering design and configuration data.…”

Section: A Model-centric Approach To Sv Designmentioning

confidence: 99%

Development of a Complex Geospatial/RF Design Model in Support of Service Volume Engineering Design

Boci

Sarkani

Mazzuchi

2011

International Journal of Interdisciplinary Telecommunications and Networking

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Today’s National Airspace System (NAS) is managed using an aging surveillance radar system. The radar technology is not adequate to sustain the support of aviation growth and cannot be adapted to use 21st century technologies Therefore, FAA has begun to implement the Next Generation Air Transportation System (NextGen) that would transform today’s aviation and ensure increased safety and capacity. The first building block of the NextGen system is the implementation of the Automatic Dependent Surveillance-Broadcast (ADS-B) system. One of the most important design aspects of the ADS-B program is the design of the terrestrial radio station infrastructure. This design determines the layout of the terrestrial radio stations throughout the United States and is optimized to meet system performance, safety and security. Designing this infrastructure to meet system requirements is at the core of Service Volume (SV) Engineering. In this paper, the authors present a complex Geospatial/RF design ER Development model-based ADS-B SV Engineering design that captures radio sites layout and configuration parameters. CORE software is selected to implement the model-based SV Engineering environment.

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Model-Based Engineering Design Pilots at JPL

Cited by 7 publications

References 5 publications

The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering

The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering

An ontology for interoperability assessment: A systemic approach

Development of a Complex Geospatial/RF Design Model in Support of Service Volume Engineering Design

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