Blending-Target Domain Adaptation for Intelligent Fault Recognition With Minimum Cycle Spiking Encoding and Adversarial Attack

IF 11.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Lv Tang, Qing Zhang, Shaochen Li, Jianping Xuan, Tielin Shi
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引用次数: 0
利用最小周期尖峰编码和对抗性攻击的混合-目标域自适应智能故障识别技术
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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