Actuator fault diagnosis in autonomous underwater vehicle based on neural network

2021 ◽  
Vol 324 ◽  
pp. 112668
Author(s):  
Yang Jiang ◽  
Chen Feng ◽  
Bo He ◽  
Jia Guo ◽  
DianRui Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Actuator Fault

Actuator fault diagnosis of autonomous underwater vehicle based on improved Elman neural network

2016 ◽  
Vol 23 (4) ◽  
pp. 808-816 ◽  
Author(s):  
Yu-shan Sun ◽  
Yue-ming Li ◽  
Guo-cheng Zhang ◽  
Ying-hao Zhang ◽  
Hai-bo Wu
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Actuator Fault ◽  
Elman Neural Network

Thruster fault diagnosis in autonomous underwater vehicle based on grey qualitative simulation

2015 ◽  
Vol 105 ◽  
pp. 247-255 ◽  
Author(s):  
Ming-jun Zhang ◽  
Yu-jia Wang ◽  
Jian-an Xu ◽  
Zheng-chen Liu
Keyword(s):  
Fault Diagnosis ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Qualitative Simulation

scholarly journals Actuator Weak Fault Diagnosis in Autonomous Underwater Vehicle Based on Tri-Stable Stochastic Resonance

2020 ◽  
Vol 10 (6) ◽  
pp. 2048 ◽  
Author(s):  
Yang Jiang ◽  
Bo He ◽  
Jia Guo ◽  
Pengfei Lv ◽  
Xiaokai Mu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Stochastic Resonance ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Ant Colony ◽  
Resonance System ◽  
Resonance Model ◽  
Weak Fault

The autonomous underwater vehicle (AUV) is mainly used in the development and exploration of the ocean. As an important module of the AUV, the actuator plays an important role in the normal execution of the AUV. Therefore, the fault diagnosis of the actuator is particularly important. At present, the research on the strong faults, such as the winding of the actuator, has achieved good results, but the research on the weak fault diagnosis is relatively rare. In this paper, the tri-stable stochastic resonance model is analyzed, and the ant colony tri-stable stochastic resonance model is used to diagnose the weak fault. The system accurately diagnoses the fault of the actuator collision and verifies the adaptive tri-stable stochastic resonance system. This model has better diagnostic results than the bi-stable stochastic resonance system.

scholarly journals Underwater terrain-aided navigation method based on improved Gaussian sum particle filtering

2019 ◽  
Vol 16 (1) ◽  
pp. 172988141882157
Author(s):  
Pengyun Chen ◽  
Jianlong Chang ◽  
Yujie Han ◽  
Meini Yuan
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Particle Filter ◽  
Basis Function ◽  
Particle Filtering ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Gaussian Sum ◽  
Matching Performance ◽  
Navigation Method

To solve the nonlinear Bayesian estimation problem in underwater terrain-aided navigation, a terrain-aided navigation method based on improved Gaussian sum particle filter is proposed. This method approximates the Bayesian function using multiple Gaussian components, and the components can be obtained by radial basis function neural network. This method has no resampling process, the particle depletion of particle filtering is eliminated in principle. The simulation shows that the proposed method has good matching performance, which is suitable for autonomous underwater vehicle navigation.

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