Fault Diagnosis of AUV Based on Bayesian Networks

Author

Shi, Changting ; Zhang, Rubo ; Yang, Ge

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Eng. Univ.

Volume

2

fYear

2006

fDate

20-24 June 2006

Firstpage

339

Lastpage

343

Abstract

As for the uncertainty and complex association in the fault diagnosis of AUV system, a method based on Bayesian networks is proposed, which is applied into fault diagnosis of AUV. By the inference mechanism based on Bayesian networks, an example of the modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given. Results of testing prove that this method highly improves the ability and accuracy of fault diagnosis of AUV

Keywords

belief networks; fault diagnosis; inference mechanisms; remotely operated vehicles; uncertainty handling; underwater vehicles; AUV system; Bayesian network; autonomous underwater vehicle; fault diagnosis system; inference mechanism; optimization method; uncertainty reasoning; Bayesian methods; Communication system control; Computer networks; Computer vision; Fault diagnosis; Lighting control; Optical computing; Optical control; Probability distribution; Underwater communication; Autonomous Underwater Vehicle; Bayesian Networks; Fault; Uncertainty reasoning; diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on

Conference_Location

Hanzhou, Zhejiang

Print_ISBN

0-7695-2581-4

Type

conf

DOI

10.1109/IMSCCS.2006.224

Filename

4673726