Multi-Fault Diagnosis for Autonomous Underwater Vehicle Based on FuzzyWeighted Support Vector Domain

• 作 者: 张铭钧 吴娟 褚振忠
• 机 构: CollegeofMechanicalandElectricalEngineering
• 出 处: 中国海洋工程：英文版
• 发表日期: 2014年5期
• 关键词: UNDERWATER vehicle support VECTOR DOMAIN DESCRIPTION multi-fault diagnosis FAULT
• 基金项目: This project is supported by the National Natural Science Foundation of China （Grant No. 51279040） and the Research Fund for the Doctoral Program of Higher Education of China （Grant No. 20112304110024

This paper addresses the multi-fault diagnosis problem of thrusters and sensors for autonomous underwater vehicles （AUVs）. Traditional support vector domain description （SVDD） has low classification accuracy in the process of AUV multi-fault pattern class