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Jose M. Bernal-de-Lázaro
Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste...
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Zequan Zhao, Qiliang Zhu, Yifei Wang, Muhammad Shoaib, Xia Cao and Ning Wang
Array-designed triboelectric nanogenerators (AD-TENGs) have firmly established themselves as state-of-the-art technologies for adeptly converting mechanical interactions into electrical signals. Central to the AD-TENG?s prowess is its inherent modularity...
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Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta...
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Chuyang Yang and John H. Mott
Aviation is a vital modern transportation sector connecting millions of passengers globally. Sustainable aviation development holds substantial community benefits, necessitating effective management of its environmental impacts. This paper addresses the ...
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Alexander Lange, Ronghua Xu, Max Kaeding, Steffen Marx and Joern Ostermann
Regular inspections of important civil infrastructures are mandatory to ensure structural safety and reliability. Until today, these inspections are primarily conducted manually, which has several deficiencies. In context of prestressed concrete structur...
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Lei Li, Xiaobao Zeng, Xinpeng Pan, Ling Peng, Yuyang Tan and Jianxin Liu
Microseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent process...
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Huanyu Wu, Wei Zhang, Zongbin Liu, Xuhui Bai, Junwei Huang, Jun Huang and Zezhou Wu
Rail transit is an important part of the urban transportation system, while the noise generated during construction seriously affects the engineering personnel and surrounding residents. To investigate the noise emissions and characteristics during the c...
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Shieh-Kung Huang, Jin-Quan Chen, Yuan-Tao Weng and Jae-Do Kang
Continuous and autonomous system identification is an alternative to regular inspection during operations, which is essential for structural integrity management (SIM) as well as structural health monitoring (SHM). In this regard, online (or real-time) s...
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Yisu Zhang, Kai Wang, Wei Yue, Shuangkui Liu, Jieling Yu and Xin Ye
Underwater spectral detection plays an important role in the study of the underwater environment, ecology, oceanography, and environmental monitoring. A kind of underwater spectral radiometer that can observe the distribution of underwater spectral radia...
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Ninghao Shi, Yingze Zhao, Baixuan Zhao, Kaifeng Zheng, Yupeng Chen, Yuxin Qin, Weibiao Wang, Jinguang Lv and Jingqiu Liang
Infrared multispectral imaging technology can achieve the long-distance, wide-ranging and fast detection of target gas, and has been widely used in the fields of dangerous-gas detection and environmental monitoring. However, due to the difficulty in acqu...
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