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

doi:10.3390/biomimetics8060489

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统认知与决策实验室

	Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis
	Fan, Xuqing 1,2; Deng, Sai 1,2; Wu, Zhengxing 1,2; Fan, Junfeng 1,2; Zhou, Chao 1,2
刊名	BIOMIMETICS
	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
DOI	10.3390/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
内容类型	期刊论文
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.