NDLI: Early warning of ship fires using Bayesian probability estimation model

Content Provider	IEEE Xplore Digital Library
Author	Hung-Ho Lee Misra, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Chem. Eng., South Alabama Univ., Mobile, AL, USA (Hung-Ho Lee; Misra, M.)
Abstract	Economic pressure to reduce the cost of the U.S. Navy ships has brought into the focus the need to significantly reduce the size of a ship's crew. In order for an automated system to replace humans while making critical decisions, it is required that such a system be able to accurately predict future events. This paper presents a wavelet theory based prediction system to predict the occurrences of ship's fires. Furthermore, while the prediction model predicts the future events, the accuracy of prediction has to be quantified by formulating a probability index that would mirror the confidence on the prediction. As such, a Bayesian theory based probability estimation model (BPEM) is developed for estimating the probability that the predicted values are within specified limits of tolerance. Tests with the U.S Naval Research Laboratory (NRL) data, covering various fire scenarios, validate that the proposed methodology consistently provides earlier detection as compared to the published results from the INRL' early warning fire detection system (EWFD) system.
Sponsorship	American Automatic Control Council
Starting Page	1637
Ending Page	1641
File Size	249435
Page Count	5
File Format	PDF
ISBN	0780390989
ISSN	07431619
e-ISBN	0780390997
DOI	10.1109/ACC.2005.1470202
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Marine vehicles Fires Bayesian methods Predictive models Economic forecasting Costs Humans Accuracy Mirrors Estimation theory
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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
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