CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Feature Selection Using Correlation Matrix in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

Decision of Prognostics and Health Management under Uncertainty

by Hong-feng Wang
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 13 - Number 4
Year of Publication: 2011
Authors: Hong-feng Wang
10.5120/1772-2438

Hong-feng Wang . Decision of Prognostics and Health Management under Uncertainty. International Journal of Computer Applications. 13, 4 ( January 2011), 1-5. DOI=10.5120/1772-2438

@article{ 10.5120/1772-2438,
author = { Hong-feng Wang },
title = { Decision of Prognostics and Health Management under Uncertainty },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 13 },
number = { 4 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume13/number4/1772-2438/ },
doi = { 10.5120/1772-2438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:50.468424+05:30
%A Hong-feng Wang
%T Decision of Prognostics and Health Management under Uncertainty
%J International Journal of Computer Applications
%@ 0975-8887
%V 13
%N 4
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The decision making of Prognostics and Health management under uncertainty is addressed in this paper. Dempster-Shafer theory is adopted to tackle this problem and some modification about this method is made to accommodate with practice. The decision-making method and decision process are detailed.

References
  1. Engel S, Gilmartin B, Bongort K, Hess A., “Prognostics, The Real Issues Associated With Predicting Life Remaining”, March 2000 IEEE Conference.
  2. Hess A, Calvello G, Frith P, Engel SJ, Hoitsma D. Challenges, Issues and Lessons Learned Chasing the "Big P": Real Predictive Prognostics Part 2, paper #1489. IEEE Aerospace Conference Big Sky, MT, 2005.
  3. Fernández A, Rallo R, Giralt F., Uncertainty Reduction in Environmental Data with Conflicting Information, Environ. Sci. Technol. 2009, 43, 5001–5006.
  4. Roemer, M., Byington, C., Kacprzynski, G., and Vachtsevanos, G. An Overview of Selected Prognostic Technologies with Reference to an Integrated PHM Architecture. Proceedings of the First International Forum on Integrated System Health Engineering and Management in Aerospace. 2005.
  5. M. Orchard, G. Kacprzynski, K. Goebel, B. Saha, and G. Vachtsevanos, Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics, Proceedings of International Conference on Prognostics and Health Management 2008, 2008.
  6. Bhaskar Saha, Kai Goebel., Uncertainty Management for Diagnostics and Prognostics of Batteries using Bayesian Techniques, Proceedings of IEEE Aerospace conference 2008, 10.1109/AERO.2008.4526631, 2008.
  7. Hess, A., Calvello, G., and Frith, P. Challenges, Issues, and Lessons Learned Chasing the “Big P”: Real Predictive Prognostics Part 1. Proceedings of the IEEE Aerospace Conference. New York: IEEE. 2005.
  8. G.Shafer. A Mathematical Theory of Evidence. Princeton University Press, Princeton, 1976.
  9. D.Dubois , H.Prade ,“Evidence, Knowledge and Belief Functions”, International Journal of Approximate, (1992) Reasoning, Vol. 6, 295-319.
  10. G.M.Provan,“The validity of Dempster-Shafer Belief Functions”, International Journal of Approximate Reasoning, Vol.6, (1992), 389-399.
  11. E.Semerdjiev, A.Tchamova,“An Approach For a Fast reduction of the Full Ignorance in the Target Identification Process”, Proceedings of First International Conference on InformationFusion, 1998.
Index Terms

Computer Science
Information Sciences

Keywords

Prognostics and Health management decision making Dempster-Shafer theory

Powered by PhDFocusTM