Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
Fault Management: Degradation Signature Detection, Modeling, and Processing Project
Summary
- Type of release
- a one-off release of a single dataset
- Data Licence
- Not Applicable
- Content Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 9 April 2015
- Modified Date
- 8 July 2015
- Publishers
- National Aeronautics and Space Administration
- Keywords
- completed, marshall-space-flight-center, project
- Identifier
- fault-management-degradation-signature-detection-modeling-and-processing-project
- Landing Page
- http://techport.nasa.gov/view/16548
- Maintainers
- Gary Jahns gary.c.jahns@nasa.gov
- Language
- en-US
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Description
Fault to Failure Progression (FFP) signature modeling and processing is a new method for applying condition-based signal data to detect degradation, to identify fault modes, and to produce system estimates for State of Health (SoH) and Remaining Useful Life (RUL). The base technology has been applied for prognostic purposes for various government-sponsored programs, but FFP signature modeling and processing has not been applied for the area of Fault Management, nor does it include such features as fault dictionaries, lookup tables, and management algorithms. The technology includes Ridgetop-designed and developed algorithms to do the following: (1) perform Kalman Filtering to reduce noise; (2) transform sensor signal data to reveal underlying (hidden) FFP signatures; (3) normalize units-of-measure dependent signal data into dimensionless FFP signatures to facilitate re-use and reduce the time to characterize and define new FFP signatures; (4) define and use model definitions that reduce memory requirements and support fast and accurate processing and calculations; (5) two forms of trajectory curve characterization, both straight-line and curvilinear; (6) a fast yet accurate, graphics-based mathematical routine to adapt an FFP model to received data; (7) amplitude and time updates similar to Extended Kalman Filtering to estimate how long it will take an adapted FFP model to reach a defined failure threshold; and (8) produce SoH and RUL estimates that rapidly converge to the estimated time-to-failure (TTF) solution. The FFP signature modeling and processing will include additional innovation to support FM to minimize application-specific programming, those include algorithms to simplify fault identification and isolation.
General Information
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This data is described at
http://catalog.data.gov/dataset/fault-management-degradation-signature-detection-modeling-and-processing-project Do you think this data is incorrect? Let us know
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This data is published by
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
Legal Information
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The rights statement is at
http://catalog.data.gov/dataset/fault-management-degradation-signature-detection-modeling-and-processing-project Do you think this data is incorrect? Let us know
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Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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There are
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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The rights statement includes data about
its data licence Do you think this data is incorrect? Let us know
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This data contains
no data about individuals Do you think this data is incorrect? Let us know
Practical Information
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The data appears in this collection
http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know
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The accuracy or relevance of this data will
go out of date but it is timestamped Do you think this data is incorrect? Let us know
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The data is
backed up offsite Do you think this data is incorrect? Let us know
Technical Information
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This data is published at
http://techport.nasa.gov/xml-api/16548 Do you think this data is incorrect? Let us know
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This data is
machine-readable Do you think this data is incorrect? Let us know
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The format of this data is
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/fault-management-degradation-signature-detection-modeling-and-processing-project Do you think this data is incorrect? Let us know
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Find out how to suggest improvements to publication at
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/fault-management-degradation-signature-detection-modeling-and-processing-project Do you think this data is incorrect? Let us know