Abstract
In order to solve the uncertainty and complexity of autonomous underwater vehicle (AUV) fault diagnosis, and it is difficult to locate the specific fault, a fault diagnosis method based on Bayesian network is proposed. Finally, it is verified that Bayesian network can be applied to AUV reliability analysis and fault diagnosis, and compared with principal component analysis (PCA) fault diagnosis, it is proved that Bayesian network can better diagnose the snecific fault causes.
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