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个人简介

教育经历 2001.9 2005.3 Ohio state University 结构工程 博士 1999.7 2000.12 NationalUniversity of singapong 结构工程 硕士 1995.7 1998.3 北京(方)交通大学 结构工程 硕士 1991.9 1995.6 北京(方)交通大学 土木工程 学士 1987.9 1990.6 湖南冷水一中 无 工作经历 2019.4 2019.9 新奥数能科技有限公司(中国) 副总裁.北京研究院院长 2017.9 2019.3 Mohawk公司(美国) 高级经理 2014.9 2017.8 通用电气(GE)美国 技术总监 2010.10 2014.9 通用电气(GE)美国 高级工程师 2008.8 2010.9 通用电气(GE)美国 主任工程师 2007.10 2008.8 福特汽车公司FORD美国 研究工程师 2005.1 2007.9 Uanderbilt University(美国) 博士后/副研究员 2000.7 2001.8 Wyoming大学(英国) 助理研究员 1998.3 1999.6 同济大学 研究工程师

研究领域

能源物联网(电厂、LNG,综合能源):物联技术、边缘计算、远程可靠性和性能监测、预测维护 旋转机械智慧运维(燃机、汽机、离心压缩机、风机等):监测预警、智能诊断、预测维护、能效模拟 人工智能算法:小波信号处理、机器学习、神经元网络、贝叶斯推理、深度学习、联合学习 可靠性建模:模型不确定下定量验证、贝叶斯网络、非线性结构等式建模

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1]Yang, Shuhua.Information Theory Based Probabilistic Approach to Blade Damage Detection of Turbomachine Using...[J],IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2022,67(12):10887-10896 [2]Banfu Yan.Tension Force Estimation of Cables with Two Intermediate Supports[J],International Journal of Structural Stability and Dynamics,2022,20(3):2050032- [3]Yu, J.A comprehensive study on frictional dependence and predictive accuracy of viscoelastic model for ...[J],JOURNAL OF THE AMERICAN CERAMIC SOCIETY,2022,102(11):6606-6617 [4]姜孝谟.A Novel Orbit-based CNN Model for Automatic Fault Identification of Rotating Machines[A],Annual Conference of the PHM Society,2022 [5]徐胜利.A Robust Error-Pursuing Sequential Sampling Approach for Global Metamodeling Based on Voronoi D...[J],JOURNAL OF MECHANICAL DESIGN,2022,136(7) [6]杨淑华.Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction[J],INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT,2022,9(1) [7]徐胜利.Bayesian wavelet PCA methodology for turbomachinery damage diagnosis under uncertainty[J],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2022,80:1-18 [8]刘海涛.Deep Latent-Variable Kernel Learning[J],IEEE Transactions on Cybernetics,2022 [9]刘海涛.Modulating scalable Gaussian processes for expressive statistical learning[J],PATTERN RECOGNITION,2022,120 [10]Yan, B.Mode Shape-Aided Tension Forces Estimation of Cable with Arbitrary Boundary Conditions[J],JOURNAL OF SOUND AND VIBRATION,2022,440(3):315-331 [11]姜孝谟.OrbitNet: A new CNN model for automatic fault diagnostics of turbomachines[J],Applied Soft Computing,2022,110 [12]赵海心.基于核密度估计的旋转机械损伤贝叶斯智能评价方法[J],风机技术,2022,62(3):69-76 [13]艾青.基于损伤累积模型的公路隧道渗漏水病害诊断与预测[J],隧道与地下工程灾害防治,2021,3(01):37-47 [14]姜孝谟.基于深度学习的选转机械轴心轨迹自动识别方法[A],Proceedings of Fourth Chinese International Turbomachinery Conference CITC,2022 [15]姜孝谟.基于贝叶斯LSTM的离心压缩机系统识别[A],Proceedings of Fourth Chinese International Turbomachinery Conference CITC,2022 [16]Yang, S.Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction[J],International Journal of Prognostics and Health Management,2021,9(1):1-19 [17]Banfu Yan.Tension Force Estimation of Cables with Two Intermediate Supports[J],International Journal of Structural Stability and Dynamics,2021,20(3):2050032- [18]姜孝谟.基于深度学习的选转机械轴心轨迹自动识别方法[A],2021 [19]姜孝谟.基于贝叶斯LSTM的离心压缩机系统识别[A],2021 [20]姜孝谟.A Novel Orbit-based CNN Model for Automatic Fault Identification of Rotating Machines[A],2021 [21]Yu, J.A comprehensive study on frictional dependence and predictive accuracy of viscoelastic model for ...[J],Journal of the American Ceramic Society,2021,102(11):6606-6617 [22]Yan, B.Mode Shape-Aided Tension Forces Estimation of Cable with Arbitrary Boundary Conditions[J],Journal of Sound and Vibration,2021,440(3):315-331 [23]赵海心.基于核密度估计的旋转机械损伤贝叶斯智能评价方法[J],风机技术,2021,62(3):69-76 [24]刘海涛.Deep Latent-Variable Kernel Learning[J],IEEE Transactions on Cybernetics,2021

学术兼职

现任《ASME-Journal of Risk and Uncertainty Analysis》等3个国际学术期刊编委,美国ASME模型验证委员会委员,美国注册土木工程师;担任30余家国际学术期刊及数十家国际学术会议的评委,并多次受邀担任不同国际会议的副主编、编委或技术指导。

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