Risk assessment of an AUV based on an improved SFMEA method

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.