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This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.
Prognostic Fault Detection and Isolation for EMA and EPS Systems 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
- ames-research-center, completed, project
- Identifier
- prognostic-fault-detection-and-isolation-for-ema-and-eps-systems-project
- Landing Page
- http://techport.nasa.gov/view/9835
- Maintainers
- TECHPORT SUPPORT hq-techport@mail.nasa.gov
- Language
- en-US
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Description
In response to NASA SBIR topic X1.04, Ridgetop Group will extend and adapt RingDown: an innovative system for the non-invasive prognostic monitoring of the health of electromechanical actuators and related power systems. This comprehensive solution provides both advanced hardware sensors to monitor the systems and prognostic health management algorithms to interpret the signals available in them. RingDown will significantly improve the reliability of and confidence in these critical NASA systems by alerting NASA personnel to impending failures well before they occur, averting disaster and improving confidence in the health of the systems. Electromechanical actuators (EMAs) are comprised of a complex system-of-systems: a high-power switch mode power supply to power the EMA's servo drive, a lower-voltage switch mode power supply to power the EMA's logic controller, power inverters, and the EMA itself. The sensors and algorithms provided by Ridgetop will allow NASA to monitor the health of?and anticipate failures in?all of these systems. In addition, these algorithms will be applicable to other switch mode power supplies (SMPSs), which are a very common component in NASA's electrical systems. Ridgetop's goal in this SBIR program is to transition these EMA prognostic health management technologies into fielded systems. In Phase I, Ridgetop will extend the RingDown sensors developed under previous NASA SBIRs to monitor additional components in the EMA system-of-systems. Ridgetop will also prototype the algorithms to interpret the data from those sensors in this Phase. In Phase II, Ridgetop will implement additional functionality for these algorithms and then field-test the combined algorithm and sensor solution. In a future Phase III or other commercialization program, a final version of this comprehensive solution will be demonstrated in-flight and then transitioned into actual system usage.
General Information
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This data is described at
http://catalog.data.gov/dataset/prognostic-fault-detection-and-isolation-for-ema-and-eps-systems-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/prognostic-fault-detection-and-isolation-for-ema-and-eps-systems-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
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Technical Information
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This data is published at
http://techport.nasa.gov/xml-api/9835 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
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