A Fast and Energy-Saving Neural Network Inference Method for Fault Diagnosis of Industrial Equipment Based on Edge-End Collaboration

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	A Fast and Energy-Saving Neural Network Inference Method for Fault Diagnosis of Industrial Equipment Based on Edge-End Collaboration
	Wang QZ(王其朝)1,3,4,5; Jin GS(金光淑)2; Li Q(李庆)1,3,4,5; Wang K(王锴)1,4,5; Yang ZY(杨祖业)2; Wang H(王宏)1,4,5
	2021
会议日期	July 27-31, 2021
会议地点	Jiaxing, China
页码	67-72
英文摘要	Data-driven fault diagnosis algorithms represented by deep learning have been widely used in industrial equipment fault diagnosis. However, the lack of real-Time performance has always restricted the development of such methods. With the development of edge computing, many edge and end computing devices are deployed in industrial environments. For this distributed computing environment, we propose a distributed neural network inference method with edge-end collaboration. This method uses an edge server to cooperate with multiple end devices for network inference. In the diagnosis of industrial equipment, it can increase the speed of inference, reduce the traffic of the edge network, and help the application of deep neural networks in industrial environments.
源文献作者	IEEE Robotics and Automation Society ; Shenyang Institute of Automation CAS ; Shenzhen Academy of Robotics
产权排序	1
会议录	2021 IEEE 11th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISSN号	2642-6633
ISBN号	978-1-6654-2527-8
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/29951]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Wang QZ(王其朝)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 2.Microcyber Corporation, Shenyang 110179, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China 5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Wang QZ,Jin GS,Li Q,et al. A Fast and Energy-Saving Neural Network Inference Method for Fault Diagnosis of Industrial Equipment Based on Edge-End Collaboration[C]. 见:. Jiaxing, China. July 27-31, 2021.