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.
Diagnosis-Driven Prognosis for Decision Making 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
- active, ames-research-center, project
- Identifier
- diagnosis-driven-prognosis-for-decision-making-project
- Landing Page
- http://techport.nasa.gov/view/18233
- Maintainers
- Gary Jahns gary.c.jahns@nasa.gov
- Language
- en-US
Community verification
Other people can verify whether the answers on this certificate are correct.
This certificate is automatically awarded.
Sign in to verify or report this certificate
Description
One cannot build a system-level Prognosis and Health Management (PHM) solution by cobbling together a bunch of existing prognostic techniques; it will have a very high rate of false-positive indications. On the other hand, if a system-level health management solution could identify the individual degradations and indictors associated with those degradations, and thereby decouple the problem into smaller pieces, the existing prognostic techniques could still be used to predict time to failure, and could therefore drive an effective Condition Based Maintenance and Decision Support System (CBM+). Qualtech Systems, Inc. (QSI) and Vanderbilt University team seeks to develop a system-level diagnostic and prognostic process and a "sense and respond capability" which first uses error codes and discrete sensor values to correctly diagnose the system health including degradations and failures of sensors and components, and then invoke appropriate prognostic routines for assessment of remaining life and capability. Thus, QSI's Testability Engineering And Maintenance System (TEAMS) real-time reasoner will enable the use of many existing prognostics techniques in the broader context by decomposing the complex system into local datasets of degradations and associated sensor data sets, thereby limiting the problem-space for the prognostic techniques to their limited design scope. Indeed, it is well established in the contexts of parameter estimation and model-based fault identification (i.e., fault isolation and severity estimation) that feature selection and diagnosis, respectively, followed by parameter estimation provides major improvements in estimation performance (measured in terms of computational time as well as the standard deviations of the estimated parameters) when compared to full parameter estimation which provides biased estimates for all the parameters.
General Information
-
This data is described at
http://catalog.data.gov/dataset/diagnosis-driven-prognosis-for-decision-making-project Do you think this data is incorrect? Let us know
-
This data is published by
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
Legal Information
-
The rights statement is at
http://catalog.data.gov/dataset/diagnosis-driven-prognosis-for-decision-making-project Do you think this data is incorrect? Let us know
-
Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
-
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
-
The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
-
The rights statement includes data about
its data licence Do you think this data is incorrect? Let us know
-
This data contains
no data about individuals Do you think this data is incorrect? Let us know
Practical Information
-
The data appears in this collection
http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know
-
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
-
The data is
backed up offsite Do you think this data is incorrect? Let us know
Technical Information
-
This data is published at
http://techport.nasa.gov/xml-api/18233 Do you think this data is incorrect? Let us know
-
This data is
machine-readable Do you think this data is incorrect? Let us know
-
The format of this data is
a standard open format Do you think this data is incorrect? Let us know
Social Information
-
The documentation includes machine-readable data for
title Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
description Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
identifier Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
landing page Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
publisher Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
keyword(s) or tag(s) Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
distribution(s) Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
release date Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
modification date Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
temporal coverage Do you think this data is incorrect? Let us know
-
The documentation includes machine-readable data for
language Do you think this data is incorrect? Let us know
-
The documentation about each distribution includes machine-readable data for
release date Do you think this data is incorrect? Let us know
-
The documentation about each distribution includes machine-readable data for
a URL to access the data Do you think this data is incorrect? Let us know
-
The documentation about each distribution includes machine-readable data for
a URL to download the dataset Do you think this data is incorrect? Let us know
-
The documentation about each distribution includes machine-readable data for
type of download media Do you think this data is incorrect? Let us know
-
Find out how to contact someone about this data at
http://catalog.data.gov/dataset/diagnosis-driven-prognosis-for-decision-making-project Do you think this data is incorrect? Let us know
-
Find out how to suggest improvements to publication at
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/diagnosis-driven-prognosis-for-decision-making-project Do you think this data is incorrect? Let us know