Loren Data's SAM Daily™

fbodaily.com
Home Today's SAM Search Archives Numbered Notes CBD Archives Subscribe
FBO DAILY ISSUE OF MARCH 12, 2010 FBO #3030
SOLICITATION NOTICE

A -- RECOVERY ANOMALY DETECTION DIAGNOSIS AND PREDICTION FOR COMPLEX ENGINEERINGSYSTEMS

Notice Date
3/10/2010
 
Notice Type
Presolicitation
 
NAICS
541712 — Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
 
Contracting Office
NASA/Ames Research Center, JA:M/S 241-1, Moffett Field, CA 94035-1000
 
ZIP Code
94035-1000
 
Solicitation Number
TO-090-R
 
Archive Date
3/10/2011
 
Point of Contact
Mark E. Lefler, Contracting Officer, Phone 650-604-3038, Fax 650-604-3020, Email mark.e.lefler@nasa.gov
 
E-Mail Address
Mark E. Lefler
(mark.e.lefler@nasa.gov)
 
Small Business Set-Aside
N/A
 
Description
RECOVERY THIS NOTICE IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY. THISOPPORTUNITY IS AVAILABLE ONLY TO THE UNIVERSITY OF CALIFORNIA AUTHORIZED UNDER THEAMERICAN RECOVERY AND REINVESTMENT ACT OF 2009. THE WORK IS SPONSORED BY THE AERONAUTICSRESEARCH MISSION DIRECTORATE (ARMD) AND THE AVIATION SAFETY PROGRAM UNDER THE UNIVERSITYAFFILIATED RESEARCH CENTER (UARC) CONTRACT NAS2-03144 WITH THE REGENTS OF THE UNIVERSITYOF CALIFORNIA.NASA/Ames Research Center (ARC) intends to issue Task Order 090-R entitled, AvSP5:Anomaly Detection, Diagnosis, and Prediction for Complex Engineering Systems to theUniversity of California under UARC contract NAS2-03144. This task is a research and development effort. Research funded by Recovery Act withinthe Aviation Safety Program will focus on developing innovative tools, concepts, methods,and technologies that will improve the intrinsic safety attributes of current and futureaircraft and of aviation operations. The Integrated Vehicle Health Management (IVHM)Project in the Aviation Safety Program is developing tools, technologies, and techniquesthat automatically detect, diagnose, and predict adverse events such as aircraftcomponent failures during flight.The focus of this task is the development of data-driven algorithms, models, andtechniques for health management of commercial aircraft and their systems and subsystems. The specific area of research is data mining algorithms that detects, diagnose, andpredict anomalies in data sets. In order to do this, the contractor shall identifycandidate datasets with known faults or degradations from government-provided source dataor testbeds. Using these data sets, the contractor will identify known anomalies. Thecontractor will further test and expand the algorithms so that they detect, diagnose, orpredict anomalies in large, diverse aeronautics datasets in the aeronautics domain. Thetest aeronautics dataset will be provided by the government.Oral communications are not acceptable in response to this notice.This announcement will not result in a Request for Proposal; this announcement is forinformational purposes only. Questions and/or concerns may be submitted in writing, viae-mail, to the following government point of contact. Mark.E.Lefler@nasa.govAn Ombudsman has been appointed. See NASA specific note B.Information about major upcoming ARC procurement actions is available at:http://ec.msfc.nasa.gov/cgi-bin/eis/admin/admin.cgi?center=ARC
 
Web Link
FBO.gov Permalink
(https://www.fbo.gov/spg/NASA/ARC/OPDC20220/TO-090-R/listing.html)
 
Record
SN02087971-W 20100312/100310234757-d722a931195e1f504c025fd3734669d4 (fbodaily.com)
 
Source
FedBizOpps Link to This Notice
(may not be valid after Archive Date)

FSG Index  |  This Issue's Index  |  Today's FBO Daily Index Page |
ECGrid: EDI VAN Interconnect ECGridOS: EDI Web Services Interconnect API Government Data Publications CBDDisk Subscribers
 Privacy Policy  Jenny in Wanderland!  © 1994-2024, Loren Data Corp.