Data-Driven Method for Predicting Remaining Useful Life of Bearing Based on Bayesian Theory von Gao, Tianhong, Li, Yuxiong, Huang, Xianzhen, Wang, Changli

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A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction von Zhao, Chengying, Huang, Xianzhen, Li, Yuxiong, Yousaf Iqbal, Muhammad

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Long non-coding RNA MEG3 inhibits cell growth of gliomas by targeting miR-93 and inactivating PI3K/AKT pathway von Zhang, Ling, Liang, Xin, Li, Yuxiong

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An Advanced Tool Wear Forecasting Technique with Uncertainty Quantification Using Bayesian Inference and Support Vector Regression von Rong, Zhiming, Li, Yuxiong, Wu, Li, Zhang, Chong, Li, Jialin

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An SiC-Based Half-Bridge Module With an Improved Hybrid Packaging Method for High Power Density Applications von Chen, Cai, Chen, Yu, Li, Yuxiong, Huang, Zhizhao, Liu, Teng, Kang, Yong

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Reliability analysis of micro milling accuracy based on flexible force model von Ding, Pengfei, Huang, Xianzhen, Zhang, Xuewei, Wang, Changli, Li, Yuxiong

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Reliability optimization of cutting parameters considering the diameter error of slender shaft von Ding, Pengfei, Huang, Xianzhen, Li, Yuxiong, Yang, Guodong

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Stochastic fractal search-optimized multi-support vector regression for remaining useful life prediction of bearings von Li, Yuxiong, Huang, Xianzhen, Zhao, Chengying, Ding, Pengfei

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Turning tool life reliability analysis based on approximate Bayesian theory von Gao, Tianhong, Li, Yuxiong, Huang, Xianzhen, Li, Honglei

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A New System Reliability Optimization Model Based on Swapping Existing Components von Ding, Pengfei, En, Xinong, Huang, Xianzhen, Li, Yuxiong

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A new direct second-order reliability analysis method von Huang, Xianzhen, Li, Yuxiong, Zhang, Yimin, Zhang, Xufang

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Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification von Li, Yuxiong, Huang, Xianzhen, Ding, Pengfei, Zhao, Chengying

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A Novel Cap-LSTM Model for Remaining Useful Life Prediction von Zhao, Chengying, Huang, Xianzhen, Li, Yuxiong, Li, Shangjie

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A steps-ahead tool wear prediction method based on support vector regression and particle filtering von Li, Yuxiong, Huang, Xianzhen, Tang, Jiwu, Li, Shangjie, Ding, Pengfei

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A wiener-based remaining useful life prediction method with multiple degradation patterns von Li, Yuxiong, Huang, Xianzhen, Gao, Tianhong, Zhao, Chengying, Li, Shangjie

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Cutting tool wear prediction based on the multi-stage Wiener process von Wang, Yuping, Chang, Miaoxin, Huang, Xianzhen, Li, Yuxiong, Tang, Jiwu

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A novel remaining useful life prediction method based on gated attention mechanism capsule neural network von Zhao, Chengying, Huang, Xianzhen, Li, Yuxiong, Li, Shangjie

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A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction von Zhao, Chengying, Huang, Xianzhen, Li, Shangjie, Li, Yuxiong, Sun, Liangshi

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High work function molybdenum nitride metallic films grown on (002) P-GaN by magnetron sputtering von Li, Yuxiong, Liu, Fengfeng, Sui, Zhanpeng, Jiang, Chunping

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A novel remaining useful life prediction method based on multi-support vector regression fusion and adaptive weight updating von Li, Yuxiong, Huang, Xianzhen, Zhao, Chengying, Ding, Pengfei

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