Fault feature extraction, feature fusion, and severity identification approaches for AUVs with weak thruster faults
Dingyu Cui,
Tianchi Zhang,
Mingjun Zhang
et al.
Abstract:Fault feature extraction, feature fusion and severity identification approaches for autonomous underwater vehicles with weak thruster faults are studied in the article. The traditional method uses the modified Bayes algorithm for fault feature extraction from different signals, then the fault features are fused through the Dempster-Shafer evidence theory, and finally, the severities of the faults are obtained by the grey relation analysis method through the fused features. But for weak thruster faults, in the … Show more
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