哈尔滨工程大学学报2011，Vol.32Issue(3)：345-349,5.DOI:10.3969/j.issn.1006-7043.2011.03.014
改进SFMEA的AUV风险评估方法
Risk assessment of an AUV based on an improved SFMEA method
摘要
Abstract
In considering the limitations in risk assessment of AUV (autonomous underwater vehicle) software systems by the traditional SFMEA (software failure modes and effects analysis) method, and on the basis of evaluating failure modes by fuzzy set theory, an improved SFMEA method based on grey region relationship was proposed. In this method, through calculating the grey region degree of relationship between the failure object and the ideal object, a quantitative risk assessment of intelligent planning and decision-making control systems of the AUV was gained, and the failure priority of the failure modes was given. Experimental results prove that the above methods can effectively solve problems which can only deal with a single value of O, S , and D by the existing SFMEA method, and improve the accuracy of the application of SFMEA methods in the AUV.关键词
智能水下机器人/风险评估/软件失效模式影响分析/灰色区间关联Key words
autonomous underwater vehicle (AUV)/ risk assessment/ software failure modes and effects analysis (SFMEA)/ grey region relationship分类
信息技术与安全科学引用本文复制引用
史长亭,张汝波..改进SFMEA的AUV风险评估方法[J].哈尔滨工程大学学报,2011,32(3):345-349,5.基金项目
中央高校基本科研业务费专项基金资助项目(HEUCF061004). （HEUCF061004）
