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Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis

文献类型：期刊论文

作者Fan, Xuqing1,2; Deng, Sai1,2; Wu, Zhengxing1,2; Fan, Junfeng1,2; Zhou, Chao1,2
刊名BIOMIMETICS
出版日期2023-10-01
卷号8期号:6页码:20
关键词image fusion lightweight AlexNet particle swarm optimization fault diagnosis robotic fish
DOI10.3390/biomimetics8060489
通讯作者Deng, Sai(sai.deng@ia.ac.cn)
英文摘要Safety and reliability are vital for robotic fish, which can be improved through fault diagnosis. In this study, a method for diagnosing sensor faults is proposed, which involves using Gramian angular field fusion with particle swarm optimization and lightweight AlexNet. Initially, one-dimensional time series sensor signals are converted into two-dimensional images using the Gramian angular field method with sliding window augmentation. Next, weighted fusion methods are employed to combine Gramian angular summation field images and Gramian angular difference field images, allowing for the full utilization of image information. Subsequently, a lightweight AlexNet is developed to extract features and classify fused images for fault diagnosis with fewer parameters and a shorter running time. To improve diagnosis accuracy, the particle swarm optimization algorithm is used to optimize the weighted fusion coefficient. The results indicate that the proposed method achieves a fault diagnosis accuracy of 99.72% when the weighted fusion coefficient is 0.276. These findings demonstrate the effectiveness of the proposed method for diagnosing depth sensor faults in robotic fish.
资助项目Youth Innovation Promotion Association of CAS[2023142] ; National Natural Science Foundation of China[61903362] ; National Natural Science Foundation of China[62003341]
WOS研究方向Engineering ; Materials Science
语种英语
出版者MDPI
WOS记录号WOS:001094201400001
资助机构Youth Innovation Promotion Association of CAS ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/54427]  
专题复杂系统认知与决策实验室
通讯作者Deng, Sai
作者单位1.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Fan, Xuqing,Deng, Sai,Wu, Zhengxing,et al. Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis[J]. BIOMIMETICS,2023,8(6):20.
APA Fan, Xuqing,Deng, Sai,Wu, Zhengxing,Fan, Junfeng,&Zhou, Chao.(2023).Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis.BIOMIMETICS,8(6),20.
MLA Fan, Xuqing,et al."Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis".BIOMIMETICS 8.6(2023):20.

入库方式： OAI收割

来源：自动化研究所

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