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A new DFB-fiber laser hydrophone 被引量:4
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作者 WANGJin-yu SUIQing-mei +3 位作者 CHANGJun LIU Tong-yu MA Liang-zhu NI Jia-sheng 《Optoelectronics Letters》 EI 2007年第4期264-266,共3页
A new fiber optic hydrophone is described. based on a distributed feedback fiber laser (DFB-fiber laser) Experimental arrangement consists of DFB-FL, unbalanced Mach-Zehnder interferometer, piezoelectric (PZT) modulat... A new fiber optic hydrophone is described. based on a distributed feedback fiber laser (DFB-fiber laser) Experimental arrangement consists of DFB-FL, unbalanced Mach-Zehnder interferometer, piezoelectric (PZT) modulator, detection and feedback control circuit, and oscillograph. Experimental results show that the bare DFB-FL hydrophone is extremely sensitive to small perturbations in their environment and can acquire exact acoustic signals. 展开更多
关键词 水诊器 激光技术 光学纤维 分布式反馈
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Actuator fault diagnosis of autonomous underwater vehicle based on improved Elman neural network 被引量:6
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作者 孙玉山 李岳明 +2 位作者 张国成 张英浩 吴海波 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第4期808-816,共9页
Autonomous underwater vehicles(AUV) work in a complex marine environment. Its system reliability and autonomous fault diagnosis are particularly important and can provide the basis for underwater vehicles to take corr... Autonomous underwater vehicles(AUV) work in a complex marine environment. Its system reliability and autonomous fault diagnosis are particularly important and can provide the basis for underwater vehicles to take corresponding security policy in a failure. Aiming at the characteristics of the underwater vehicle which has uncertain system and modeling difficulty, an improved Elman neural network is introduced which is applied to the underwater vehicle motion modeling. Through designing self-feedback connection with fixed gain in the unit connection as well as increasing the feedback of the output layer node, improved Elman network has faster convergence speed and generalization ability. This method for high-order nonlinear system has stronger identification ability. Firstly, the residual is calculated by comparing the output of the underwater vehicle model(estimation in the motion state) with the actual measured values. Secondly, characteristics of the residual are analyzed on the basis of fault judging criteria. Finally, actuator fault diagnosis of the autonomous underwater vehicle is carried out. The results of the simulation experiment show that the method is effective. 展开更多
关键词 autonomous underwater vehicle fault diagnosis THRUSTER improved Elman neural network
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