摘要
针对水下航行器使用适用性试验验收中存在的指标体系综合集成和动态量化难点问题,提出基于统计模式识别的三元状态指标体系构建方法,将性能稳定性、功能随动性、故障鲁棒性三类动态性指标通过组内约简、组间聚合处理,集成为综合性指标。采用统计模式识别方法识别出使用适用性的良好、不稳定、异常3种典型状态,以较高正确率判别出水下航行器的状态,并且在不稳定状态检出率方面表现突出,判断错误率较低。通过3组试验验证该指标体系的理论正确性及工程可行性。
Aiming at the difficuhies to integrate and dynamic quantization of operational suitabi|ity index system of underwater vehicle (UV) test and acceptance, a three states index system building method based on statistical pattern recognition was proposed, which integrates stability of capability, function adaptability and robustness of failure to a comprehensive indicator. Three typical states of normal, unstable and abnormal of operational suitability can be identified accurately using the method of statistical pattern recognition. The proposed method was proved to be outstanding at detection rate of astaticism state and has low rate of errors by three groups of experiments.
作者
李荣修
江莲
王鑫
LI Rong-xiu JIANG Lian WANG Xin(No. 92001 of PLA, Qingdao Shandong 266003, China No. 92337 of PLA, Dalian Liaoning 116023, China)
出处
《船海工程》
北大核心
2017年第A02期289-292,共4页
Ship & Ocean Engineering
关键词
水下航行器
使用适用性
指标体系
统计模式识别
underwater vehicle (UV)
operational suitability
index system
statistical pattern recognition