ADAPT Dataset

Metadata Updated: May 6, 2016

Advanced Diagnostics and Prognostics Testbed (ADAPT) Project Lead: Scott Poll

Subject

Fault diagnosis in electrical power systems

Description

The Advanced Diagnostics and Prognostics Testbed (ADAPT) lab at the NASA Ames Research Center aims to provide a means to assess the effectiveness of diagnostic algorithms at detecting faults in power systems. The algorithms are evaluated using data from the Electrical Power System (EPS), which simulates the functions of a typical aerospace vehicle power system. The EPS allows for the controlled insertion of faults in repeatable failure scenarios to test if diagnostic algorithms can detect and isolate these faults.

How Data Was Acquired

This dataset was generated from the EPS in the ADAPT lab. Each data file corresponds to one experimental run of the testbed. During an experiment, a data acquisition system commands the testbed into different configurations and records data from sensors that measure system variables such as voltages, currents, temperatures and switch positions. Faults were injected in some of the experimental runs.

Sample Rates and Parameter Descriptions

Data was sampled at a rate of 2 Hz and saved into a tab delimited plain text file. There are a total of 128 sensors and typical experimental runs last for approximately five minutes. The text files have also been converted into a MATLAB environment file containing equivalent data that may be imported for viewing or computation.

Faults and Anomalies

Faults were injected into the EPS using physical or software means. Physical faults include disconnecting sources, sinks or circuit breakers. For software faults, user commands are passed through an Antagonist function before being received by the EPS, and sensor data is filtered through the same function before being seen by the user. The Antagonist function was able to block user commands, send spurious commands and alter sensor data.

External Links

Additional data from the ADAPT EPS testbed can be found at the DXC competition page - https://dashlink.arc.nasa.gov/topic/diagnostic-challenge-competition/

Other Notes

The HTML diagrams can be viewed in any brower, but its active content is best run on Internet Explorer.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

Downloads & Resources

Dates

Metadata Created Date February 26, 2016
Metadata Updated Date May 6, 2016
Data Update Frequency irregular

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date February 26, 2016
Metadata Updated Date May 6, 2016
Publisher Dashlink
Unique Identifier DASHLINK_143
Maintainer
DAWN MCINTOSH
Maintainer Email
Id {$oid: 56cf5b00a759fdadc44e5613}
Public Access Level public
Data Update Frequency irregular
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 07cf25b1-fd81-4dd5-a47a-13b83dc1388e
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2010-09-22T09:24:03
Homepage URL https://c3.nasa.gov/dashlink/resources/143/
Language en-US
License http://www.usa.gov/publicdomain/label/1.0/
Data Last Modified 2010-10-21T15:18:25
Program Code 026:029
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > Dashlink
Source Datajson Identifier True
Source Hash 78659fd68c85e5b5378fcdf3944d4d39685afa9d
Source Schema Version 1.1

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