哈尔滨工程大学学报Issue(9)：1099-1105,7.DOI:10.3969/j.issn.1006-7043.201403036
自主式水下机器人故障特征增强方法
Fault feature enhancement for autonomous underwater vehicles
摘要
Abstract
With respect to over-attenuation caused by wavelet decomposition, when attenuating the external stochas-tic disturbance for longitude velocity of autonomous underwater vehicle ( AUV) , a novel algorithm was proposed to enhance fault feature and attenuate stochastic disturbance for AUV longitude velocity. The stochastic resonance of longitude velocity was obtained based on adaptive stochastic resonance, thereby transmitting the energy of external disturbance to that of fault signal. Based on experiment data from outputs of bistable system driven by the non-peri-odic longitude velocity signal and periodic signal, respectively, the motion state of Brownian particle driven by the longitude velocity was analyzed. The pool experiment results showed that in comparison with wavelet method, the enhancement of fault feature was improved by 70.66% without over-attenuation based on the proposed method, the Brownian particle just moved in negative potential well.关键词
自主式水下机器人/外部干扰/特征增强/随机共振/小波/过抑制/非周期/布朗粒子Key words
autonomous underwater vehicle/external disturbance/feature enhancement/stochastic resonance/wave-let/over-attenuation/non-periodic/Brownian particle分类
信息技术与安全科学引用本文复制引用
张铭钧,刘维新,殷宝吉,王玉甲..自主式水下机器人故障特征增强方法[J].哈尔滨工程大学学报,2014,(9):1099-1105,7.基金项目
国家自然科学基金资助项目（51279040）；高等学校博士点基金资助项目（20112304110024）． （）
