Deep learning for smart manufacturing: Methods and applications von Wang, Jinjiang, Ma, Yulin, Zhang, Laibin, Gao, Robert X., Wu, Dazhong

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Deep learning and its applications to machine health monitoring von Zhao, Rui, Yan, Ruqiang, Chen, Zhenghua, Mao, Kezhi, Wang, Peng, Gao, Robert X.

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A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests von Wu, Dazhong, Jennings, Connor, Terpenny, Janis, Gao, Robert X, Kumara, Soundar

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Long short-term memory for machine remaining life prediction von Zhang, Jianjing, Wang, Peng, Yan, Ruqiang, Gao, Robert X.

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Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook von Arinez, Jorge F, Chang, Qing, Gao, Robert X, Xu, Chengying, Zhang, Jianjing

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State of AI-Based Monitoring in Smart Manufacturing and Introduction to Focused Section von Ding, Han, Gao, Robert X., Isaksson, Alf J., Landers, Robert G., Parisini, Thomas, Yuan, Ye

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Approximate Entropy as a diagnostic tool for machine health monitoring von Yan, Ruqiang, Gao, Robert X.

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Deep Learning-Driven Data Curation and Model Interpretation for Smart Manufacturing von Zhang, Jianjing, Gao, Robert X.

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A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing von Shao, Si-Yu, Sun, Wen-Jun, Yan, Ru-Qiang, Wang, Peng, Gao, Robert X

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Performance enhancement of ensemble empirical mode decomposition von Zhang, Jian, Yan, Ruqiang, Gao, Robert X., Feng, Zhihua

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Computational Methods for Estimating Energy Expenditure in Human Physical Activities von SHAOPENG LIU, GAO, Robert X, FREEDSON, Patty S

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A multi-time scale approach to remaining useful life prediction in rolling bearing von Qian, Yuning, Yan, Ruqiang, Gao, Robert X.

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Digital Twin for rotating machinery fault diagnosis in smart manufacturing von Wang, Jinjiang, Ye, Lunkuan, Gao, Robert X., Li, Chen, Zhang, Laibin

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Deep learning-based tensile strength prediction in fused deposition modeling von Zhang, Jianjing, Wang, Peng, Gao, Robert X.

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A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN von Wang, Hui, Xu, Jiawen, Yan, Ruqiang, Gao, Robert X.

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An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples von Wang, Jinjiang, Liang, Yuanyuan, Zheng, Yinghao, Gao, Robert X., Zhang, Fengli

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Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction von Wang, Jinjiang, Yan, Jianxing, Li, Chen, Gao, Robert X., Zhao, Rui

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Hybrid machine learning for human action recognition and prediction in assembly von Zhang, Jianjing, Wang, Peng, Gao, Robert X.

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Multilevel Information Fusion for Induction Motor Fault Diagnosis von Wang, Jinjiang, Fu, Peilun, Zhang, Laibin, Gao, Robert X., Zhao, Rui

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Machine vision intelligence for product defect inspection based on deep learning and Hough transform von Wang, Jinjiang, Fu, Peilun, Gao, Robert X.

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