Title :
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.
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;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.224
