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A hybrid muti-dimension normalization layers improved ResNet based fault diagnosis method of rolling bearing
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
贺 长波
安徽大学
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张贴报告
An Approach of Rolling Bearing Remaining Useful Life Prediction based on Adaptive Ensemble Model
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
李 文杰
北京工业大学
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张贴报告
Comparision and analysis of siamese network tracker family
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
Shi Zhen
Hangzhou Dianzi University
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张贴报告
Effect of Pretreatment on Electrical Breakdown Performance of Insulation Oil in Submarine Oil-Filled Cable
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
li lili
Harbin University of Science and Technology
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张贴报告
Bearing Remaining Useful Life Prediction Using FNN-based Feature Principal Component and GRNN
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
ZHIQIANG LIAO
Guangdong Ocean University
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Fault feature extraction of rolling bearing considering slippage influence based on a dynamic model
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
曹 正
安徽大学
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张贴报告
Design of Data Acquisition Module Based on VME Bus
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
hongtao yin
Harbin Institute of Technology
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张贴报告
Testability design of spacecraft test equipment based on BIT
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
Yang Zhao
Beijing Institute of Spacecraft System Engineering
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张贴报告
Impulse detection of welded joints of high-speed railway turnout based on time-frequency and correlation analyses
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
Hao Hu
suchow university
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张贴报告
An Orthogonal Sparse Weight Matrix Algorithm for Bearing Early Fault Detection and Recognition
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence
Sun Shilong
harbin institute of technology shenzhen
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