Search Results - "IEEE transactions on industrial informatics"

Deep Residual Shrinkage Networks for Fault Diagnosis by Zhao, Minghang, Zhong, Shisheng, Fu, Xuyun, Tang, Baoping, Pecht, Michael

“…This article develops new deep learning methods, namely, deep residual shrinkage networks, to improve the feature learning ability from highly noised vibration…”
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Digital Twin in Industry: State-of-the-Art by Tao, Fei, Zhang, He, Liu, Ang, Nee, A. Y. C.

“…Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless…”
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Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT by Lu, Yunlong, Huang, Xiaohong, Dai, Yueyue, Maharjan, Sabita, Zhang, Yan

“…The rapid increase in the volume of data generated from connected devices in industrial Internet of Things paradigm, opens up new possibilities for enhancing…”
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From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges by Liu, Ye, Ma, Xiaoyuan, Shu, Lei, Hancke, Gerhard Petrus, Abu-Mahfouz, Adnan M.

“…The three previous industrial revolutions profoundly transformed agriculture industry from indigenous farming to mechanized farming and recent precision…”
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Industrial Internet of Things: Challenges, Opportunities, and Directions by Sisinni, Emiliano, Saifullah, Abusayeed, Han, Song, Jennehag, Ulf, Gidlund, Mikael

“…Internet of Things (IoT) is an emerging domain that promises ubiquitous connection to the Internet, turning common objects into connected devices. The IoT…”
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Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning by Shao, Siyu, McAleer, Stephen, Yan, Ruqiang, Baldi, Pierre

“…We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of…”
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Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images by Shao, Haidong, Xia, Min, Han, Guangjie, Zhang, Yu, Wan, Jiafu

“…The existing intelligent fault diagnosis methods of rotor-bearing system mainly focus on vibration analysis under steady operation, which has low adaptability…”
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An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles by Peng, Zhouhua, Wang, Jun, Wang, Dan, Han, Qing-Long

“…Autonomous surface vehicles (ASVs) are marine vessels capable of performing various marine operations without a crew in a variety of cluttered and hostile…”
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Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things by Li, Zhetao, Kang, Jiawen, Yu, Rong, Ye, Dongdong, Deng, Qingyong, Zhang, Yan

“…In industrial Internet of things (IIoT), peer-to-peer (P2P) energy trading ubiquitously takes place in various scenarios, e.g., microgrids, energy harvesting…”
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Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network by Yuan, Xiaofeng, Li, Lin, Wang, Yalin

“…Soft sensor has been extensively utilized in industrial processes for prediction of key quality variables. To build an accurate virtual sensor model, it is…”
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Variational LSTM Enhanced Anomaly Detection for Industrial Big Data by Zhou, Xiaokang, Hu, Yiyong, Liang, Wei, Ma, Jianhua, Jin, Qun

“…With the increasing population of Industry 4.0, industrial big data (IBD) has become a hotly discussed topic in digital and intelligent industry field. The…”
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Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks by Lu, Yunlong, Huang, Xiaohong, Zhang, Ke, Maharjan, Sabita, Zhang, Yan

“…Emerging technologies, such as digital twins and 6th generation (6G) mobile networks, have accelerated the realization of edge intelligence in industrial…”
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A Survey on Deep Learning for Data-Driven Soft Sensors by Sun, Qingqiang, Ge, Zhiqiang

“…Soft sensors are widely constructed in process industry to realize process monitoring, quality prediction, and many other important applications. With the…”
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Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices by Wang, Weizheng, Xu, Hao, Alazab, Mamoun, Gadekallu, Thippa Reddy, Han, Zhaoyang, Su, Chunhua

“…Nowadays, the Industrial Internet of Things (IIoT) has remarkably transformed our personal lifestyles and society operations into a novel digital mode, which…”
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From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where by Ahmed, Imran, Jeon, Gwanggil, Piccialli, Francesco

“…Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern technologies and innovations. Artificial intelligence (AI) can be considered…”
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DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems by Li, Beibei, Wu, Yuhao, Song, Jiarui, Lu, Rongxing, Li, Tao, Zhao, Liang

“…The rapid convergence of legacy industrial infrastructures with intelligent networking and computing technologies (e.g., 5G, software-defined networking, and…”
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A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life by Ren, Lei, Dong, Jiabao, Wang, Xiaokang, Meng, Zihao, Zhao, Li, Deen, M. Jamal

“…Integration of each aspect of the manufacturing process with the new generation of information technology such as the Internet of Things, big data, and cloud…”
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Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence by Hao, Meng, Li, Hongwei, Luo, Xizhao, Xu, Guowen, Yang, Haomiao, Liu, Sen

“…By leveraging deep learning-based technologies, industrial artificial intelligence (IAI) has been applied to solve various industrial challenging problems in…”
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Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems by Zhou, Xiaokang, Liang, Wei, Shimizu, Shohei, Ma, Jianhua, Jin, Qun

“…With the increasing population of Industry 4.0, both AI and smart techniques have been applied and become hotly discussed topics in industrial cyber-physical…”
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Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT by Yu, Keping, Tan, Liang, Aloqaily, Moayad, Yang, Hekun, Jararweh, Yaser

“…The industrial Internet of Things (IIoT) supports recent developments in data management and information services, as well as services for smart factories…”
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