{"project":{"acronym":"","projectId":10608,"title":"Automation of Safety Analysis with SysML Models","primaryTaxonomyNodes":[{"taxonomyNodeId":10842,"taxonomyRootId":8816,"parentNodeId":10840,"level":3,"code":"TX11.5.2","title":"Tools and Methodologies for Performing Systems Analysis","definition":"This area covers technologies that enable systems analyses that yield meaningful insights into novel, complex, and highly coupled systems ranging from rapid turnaround impact assessments to variable order and fidelity models and non-deterministic methods","exampleTechnologies":"Trade space analysis tools, design and data visualization, automated system-level performance evaluation and characterization tool, dynamic behavior modeling / SysML MBSE tool, coupled trajectory/spacecraft/system design","hasChildren":false,"hasInteriorContent":true}],"startTrl":3,"currentTrl":3,"endTrl":3,"benefits":"
There are benefits for both safety analysis and engineering analysis. Semi-automation of FMEA will reduce cost and increase coverage, standardization and reuse. FMEA could be significantly improved by using SysML models and standard terminology to classify components and automatically identify candidate functions, infrastructure and failure modes. Early identification of design weaknesses can substantially reduce rework costs later in life cycle. Use of SysML will closely link safety analysis with the overall engineering process, resulting in smoother collaboration and safer vehicles and missions. The resulting reusable model would become part of the model-based system engineering process.
","description":"To provide economical, reliable and safe access to space, design weaknesses should be identified earlier in the engineering life cycle, using model-based systems engineering. The slow manual approach to performing Failure Modes and Effects Analysis (FMEA) is a barrier to early identification of weaknesses. To semi-automate the identification of failure modes and causes use a prototype FMEA Assistant, including a library with standard terminology, to classify components associated with failure modes and automatically identify candidate functions, infrastructure and failure modes. This automation will reduce cost and increase coverage, standardization and reuse. Early identification of design weaknesses can substantially reduce rework costs later in the life cycle, which are all too common in the testing phase. Use of SysML will closely link safety analysis with the overall engineering process, resulting in smoother collaboration and safer vehicles and missions. The resulting reusable model would become part of the model-based system engineering process.
This project was a small proof-of-concept case study, generating SysML model information as a side effect of safety analysis. A prototype FMEA Assistant was used to semi-automate safety analysis that identifies failure modes and causes, using a library with standard SysML-compatible terminology to classify components associated with failure modes and to automatically identify candidate functions, infrastructure and failure modes. FMEA analysts select from standard functions and failures to systematically narrow down failure mode selection (presented in automatically created pick lists). Standard terminology from an existing Aerospace Ontology is used to classify components and automatically identify candidate functions and failure modes. With automatically created pick lists, analysts can easily and correctly select standard functions and failures for a SysML architecture model as a side effect of using FMEA Assistant. A white paper reports on a concept for using SysML profiles for safety analysis, to standardize FMEA-related terminology for reuse in several types of safety analysis (hazard analyses, fault trees, reliability block diagrams). See related project: Failure Modes and Effects Analysis (FMEA) Simulation Tool
","startYear":2012,"startMonth":1,"endYear":2012,"endMonth":4,"statusDescription":"Completed","principalInvestigators":[{"contactId":202829,"canUserEdit":false,"firstName":"Jane","lastName":"Malin","fullName":"Jane T Malin","fullNameInverted":"Malin, Jane T","middleInitial":"T","primaryEmail":"jane.t.malin@nasa.gov","publicEmail":true,"nacontact":false}],"programDirectors":[{"contactId":335305,"canUserEdit":false,"firstName":"Michael","lastName":"Lapointe","fullName":"Michael R Lapointe","fullNameInverted":"Lapointe, Michael R","middleInitial":"R","primaryEmail":"michael.r.lapointe@nasa.gov","publicEmail":true,"nacontact":false}],"programExecutives":[{"contactId":392233,"canUserEdit":false,"firstName":"Richard","lastName":"Howard","fullName":"Richard W Howard","fullNameInverted":"Howard, Richard W","middleInitial":"W","primaryEmail":"richard.w.howard@nasa.gov","publicEmail":true,"nacontact":false}],"programManagers":[{"contactId":62108,"canUserEdit":false,"firstName":"Carlos","lastName":"Westhelle","fullName":"Carlos H Westhelle","fullNameInverted":"Westhelle, Carlos H","middleInitial":"H","primaryEmail":"carlos.h.westhelle@nasa.gov","publicEmail":true,"nacontact":false}],"projectManagers":[{"contactId":202829,"canUserEdit":false,"firstName":"Jane","lastName":"Malin","fullName":"Jane T Malin","fullNameInverted":"Malin, Jane T","middleInitial":"T","primaryEmail":"jane.t.malin@nasa.gov","publicEmail":true,"nacontact":false}],"website":"","libraryItems":[{"caption":"Project Image Automation of Safety Analysis with SysML Models","file":{"fileExtension":"png","fileId":2265,"fileName":"10608-1378235653352","fileSize":79148,"objectId":477,"objectType":{"lkuCodeId":889,"code":"LIBRARY_ITEMS","description":"Library Items","lkuCodeTypeId":182,"lkuCodeType":{"codeType":"OBJECT_TYPE","description":"Object Type"}},"objectTypeId":889,"fileSizeString":"77.3 KB"},"files":[{"fileExtension":"png","fileId":2265,"fileName":"10608-1378235653352","fileSize":79148,"objectId":477,"objectType":{"lkuCodeId":889,"code":"LIBRARY_ITEMS","description":"Library Items","lkuCodeTypeId":182,"lkuCodeType":{"codeType":"OBJECT_TYPE","description":"Object Type"}},"objectTypeId":889,"fileSizeString":"77.3 KB"}],"id":477,"title":"10608-1378235653352.png","description":"Project Image Automation of Safety Analysis with SysML Models","libraryItemTypeId":1095,"projectId":10608,"primary":true,"publishedDateString":"","contentType":{"lkuCodeId":1095,"code":"IMAGE","description":"Image","lkuCodeTypeId":341,"lkuCodeType":{"codeType":"LIBRARY_ITEM_TYPE","description":"Library Item Type"}}}],"transitions":[],"primaryImage":{"file":{"fileExtension":"png","fileId":2265,"fileSizeString":"0 Byte"},"id":477,"description":"Project Image Automation of Safety Analysis with SysML Models","projectId":10608,"publishedDateString":""},"responsibleMd":{"acronym":"STMD","canUserEdit":false,"city":"","external":false,"linkCount":0,"organizationId":4875,"organizationName":"Space Technology Mission Directorate","organizationType":"NASA_Mission_Directorate","naorganization":false,"organizationTypePretty":"NASA Mission Directorate"},"program":{"acronym":"JSC CIF","active":true,"description":"JSC provides and applies its preeminent capabilities in science and technology to develop, operate, and integrate human exploration missions. The Center encourages collaboration with aerospace and non-aerospace industries, government agencies, and academia to solve science and technology challenges, while actively striving to maximize technology transfer into the commercial sector.
An active and sustainable science and technology development program is key to ensuring the challenges of human exploration are successfully overcome. The JSC-directed solicitations program enables the Center to invest strategically in high priority areas needed to accomplish future missions as articulated in the NASA Technology Roadmaps and the Space Technology Investment Plan (STIP). It offers the Center the ability to address technology gaps that are beyond the requirements of near-term programs to fund. It also provides a platform to continue to grow and maintain critical skills and innovations needed to ensure future mission success. These solicitations encourage use of collaborations to ensure maximum benefit to both the space program and the nation. As such, external partnerships are highly encouraged not only as a funding leverage but to bring innovative ideas and approaches into human exploration programs.
Selection Process
Typically, JSC solicitations are developed by the JSC CTO and the JSC Technology Working Group (JTWG). The competitive calls are coordinated with JSC Senior Staff and communicated to the JSC workforce via internal email distribution to an R&D community list and through postings on the internal center website and through JSC Today notices.
The JTWG solicits, evaluates and prioritizes all JSC solicitation responses in a two-stage process. The JTWG members review project proposals and work together to down-select to the finalists. The Principal Investigators (PIs) make presentations to the JTWG to provide more in-depth project details. This allows the members to select the finalists to support for the year. Selection criteria and funding vary based on the focus of the solicitation but of primary interest are:
Project Accomplishments
Through the result of research and development, JSC’s IR&D project PIs are making important progress in the advancement of technology needed to enable NASA’s mission of space exploration. In addition, many of the technologies development to meet the challenges of space exploration have great commercialization potential. Each year, many of JSC’s IR&D projects file New Technology Reports (NTRs) through the JSC Tech Transfer Office. Several of these reports have received New Technology Evaluation Patent ratings to pursue patents, while additional ones have been scheduled for success story articles to be written and published.
JSC projects active in FY12 and beyond have been included in TechPort. Through the TechPort tool information on the projects is provided and will be updated by PIs as developments and updates become available. This will offer further knowledge and information sharing between NASA developers, researchers, engineers and scientists and other internal and external stakeholders.
The JSC Chief Technologist Office (CTO) sponsors one or more Independent Research & Development (IR&D) solicitations throughout each year depending on available funds. These local solicitations primarily use a blend of Agency Center Innovation Fund (CIF) and the JSC Center Investment Account (CIA) funds to stimulate and encourage technology development, creativity, and innovation. The objective is to address the technology needs of the Agency as well as the nation. For these reasons, funds distributed to JSC support emerging technologies and creative initiatives that leverage the Center’s talent pool and unique capabilities. Scientists and engineers across the Center lead projects and establish partnerships between other centers, agencies, research laboratories, academic institutions and private industries.
","parentProgram":{"acronym":"CIF","active":true,"description":"Through the Center Innovation Fund, the Space Technology Mission Directorate allocates a small portion of the NASA workforce and procurement budget to internal research and development to feed early stage innovation in technology and exploration. Activities with in the Center Innovation Fund are proposed and led by NASA scientists and engineers. These activities and creative initiatives pursue emerging technologies that leverage talent and capabilities at the NASA Centers.
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