Abstract:The unmanned surface vessel is a small surface warship with autonomous planning and autonomous navigation. It is often used to carry out dierent kinds of dangerous battle missions by many countries in the military field. In order to ensure the safety and reliability of surface vessels at work, this paper discusses the advantages of applying data-driven methods to the detection and diagnosis on the navigation states of surface vessels, analyzes the application performance of PCA-based, SVM-based and BP-neural-networkbased methods, and proposes practical methods for detection and diagnosis, which provide references to researchers devoted to the
related work.
李款,于寒. 基于数据驱动的水面艇航行状态检测与诊断[J]. 指挥与控制学报, 2016, 2(3): 188-193.
LI Kuan,YU Han. Data-driven Based Detection and Diagnosis on the Navigation States of Surface Vessels. Journal of Command and Control, 2016, 2(3): 188-193.