王宇西安交通大学教师主页管理系统近年代表性学术成果中文主页

王宇

教授
博士生导师
硕士生导师
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所在单位：机械工程学院
学历：博士研究生毕业
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性别：男
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学位：博士
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近年代表性学术成果

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Liu Y, Wang Y, Chow T W S, et al. Deep adversarial subdomain adaptation network for intelligent fault diagnosis[J]. IEEE Transactions on Industrial Informatics, vol.18, no.9, pp.6038-6046, Sep. 2022, (SCI, EI, 高被引, 中科院一区, IF: 10.215,智能诊断与控制的顶级期刊).
J. Li, Y. Wang*, Y. Zi and Z. Zhang, "Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions," IEEE Transactions on Neural Networks and Learning Systems, Apr. 2021,(SCI, EI, 中科院一区, IF: 10.451,计算机和神经网络计算的顶级期刊).
Y. Wang, Y. Peng and T. W. S. Chow, “Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD,” IEEE Transactions on Industrial Informatics, Sept 2021, (SCI, EI, 中科院一区, IF: 10.215,智能诊断与控制的顶级期刊).
Y. Wang, L. He, S. Jiang and T. W. S. Chow, "Failure Prediction of Hard Disk Drives Based on Adaptive Rao–Blackwellized Particle Filter Error Tracking Method," IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 913-921, Feb. 2021,(SCI, EI, 中科院一区, IF: 10.215,智能诊断与控制的顶级期刊).
Y. Peng, Y. Wang*, and Y. Zi, "Switching state-space degradation model with recursive filter/smoother for prognostics of remaining useful life," IEEE Transactions on Industrial Informatics, Vol. 15, no. 2, pp. 822 - 832, Feb. 2019(SCI, EI,中科院一区, IF: 10.215,智能诊断与控制的顶级期刊).
Y. Wang, Y. Peng, Y. Zi, X. Jin and K. Tsui, "A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem," IEEE Transactions on Industrial Informatics, vol. 12, no. 3, pp. 924-932, June 2016, (SCI, EI, 中科院一区, IF: 10.215,智能诊断与控制的顶级期刊).
Y. Wang, E. W. M. Ma, T. W. S. Chow and K. Tsui, "A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives," IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 419-430, Feb. 2014, (SCI, EI, 中科院一区, IF: 10.215,智能诊断与控制的顶级期刊).
Y. Peng, Y. Wang*, G. Wang and K. L. Tsui, "Doubly Stochastic Cumulative Damage Model for RUL Prediction of HDDs in Uncertain Operating Environments," IEEE Transactions on Industrial Electronics, Aug. 2020, (SCI, EI, 中科院一区, IF: 8.236,智能诊断与控制的顶级期刊).
Y. Peng, Y. Wang*, J. S. Xie, Y. Zi, “Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions,” Reliability Engineering & System Safety, vol. 204, Dec. 2020, (SCI, EI, 中科院一区, IF: 5.04,可靠性的顶级期刊).
G. Wang, Y. Wang* and X. Sun, "Multi-Instance Deep Learning Based on Attention Mechanism for Failure Prediction of Unlabeled Hard Disk Drives," IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-9, Apr 2021, (SCI, EI, IF: 4.016).
J. Li, Y. Wang*, Y. Zi, X. Sun and Y. Yang, “A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-12, Jan. 2021, (SCI, EI, IF: 4.016).
Y. Wang, X. Sun, J. Li and Y. Yang, “Intelligent Fault Diagnosis With Deep Adversarial Domain Adaptation,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-9, Jan. 2021, (SCI, EI, IF: 4.016).
A. Yang, Y. Wang*, Y. Zi and T. W. S. Chow, "An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data," IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 12, pp. 4629-4639, Dec. 2019, (SCI, EI, IF: 4.016).