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2006 First International Multi-Symposiums on Computer and Computational Sciences
Fault Diagnosis of AUV Based on Bayesian Networks
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
Changting Shi, Harbin Engineering University, China
Rubo Zhang, Harbin Engineering University, China
Ge Yang, Harbin Engineering University, China
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.
Index Terms:
Autonomous Underwater Vehicle, Fault diagnosis, Bayesian Networks, Uncertainty reasoning
Citation:
Changting Shi, Rubo Zhang, Ge Yang, "Fault Diagnosis of AUV Based on Bayesian Networks," imsccs, vol. 2, pp.339-343, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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