NDLI: Neural networks-based reconstruction of flight data for aircraft crash investigations

Content Provider	IEEE Xplore Digital Library
Author	Napolitano, M.R. Windon, D.A.
Copyright Year	1996
Description	Author affiliation: Dept. of Mech. & Aerosp. Eng., West Virginia Univ., Morgantown, WV, USA (Napolitano, M.R.)
Abstract	An the investigation of an aircraft crash the flight recorder data, the voice recorder tracks, and the inspection of the aircraft wreckage are key elements. At times these elements are not sufficient to allow the investigators to reach a conclusion about a cause or a set of causes for the failure(s) leading to the crash. Federal rules do not mandate for a "black box" to record deflections of the aircraft control surfaces. Nevertheless, it is clear that these dynamic time histories can provide critical information leading to the discovery of the cause(s) of the crash. In this paper a neural network approach is proposed for the reconstruction of the time histories of the control surfaces deflections. The neural inputs are the discretized "black box" data; the neural outputs are the estimates of the control surface deflections which minimize weighted quadratic differences between the time histories data from a parallel simulation code and the actual "black box" data. The approach is iterative in nature; starting from an initial time instant, the signal reconstruction scheme will proceed to the next time instant only when the estimates of the control surfaces deflections at the current instant minimize the weighted quadratic differences relative to the next time instant. The results relative to the reconstruction of the control surfaces deflections for a single type of failure under different conditions are presented and discussed.
Starting Page	2084
Ending Page	2089
File Size	547994
Page Count	6
File Format	PDF
ISBN	0780332105
DOI	10.1109/ICNN.1996.549223
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Computer crashes Surface reconstruction History Aircraft Control systems Jamming FAA Feedforward systems Elevators
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in