Missile Fault Diagnosis Using a Learning Bayesian Network

  Aruna Gunda,  Varsha Teratipally

This paper discusses the implementation of Missile fault diagnosis system based on a learning Bayesian network which is a part of “Expert System for Missile Diagnosis” project from ASL (Advanced Systems Laboratory), Defence Research and Development Organization, Hyderabad. Missile diagnosis involves a lot of uncertain and incomplete data. Probabilistic theory deals with such uncertain information and Bayesian network serves as an effective tool to implement Probabilistic theory for real-time applications. In this paper, we demonstrate how a learning Bayesian network can be used for missile diagnosis.

Keywords- Fault diagnosis, missile, Bayesian network, learning, probabilistic theory

Unique Identification Number - IJEDR1604027
Page Number(s) - 147-149
Pubished in - Volume 4 | Issue 4 | October 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Aruna Gunda,  Varsha Teratipally,   "Missile Fault Diagnosis Using a Learning Bayesian Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.147-149, October 2016, Available at :http://www.ijedr.org/papers/IJEDR1604027.pdf