|
个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 工业装备数字孪生省重点实验室主任，大工碳中和研究院院长
性别：男
毕业院校：The Ohio State University
学位：博士
所在单位：能源与动力学院
学科：计算力学. 机械制造及其自动化
办公地点：能动学院508
联系方式：0411-84706279
电子邮箱：xiaomojiang2019@dlut.edu.cn
扫描关注
- [1]王巍, 李哲, 刘祎阳, 姜孝谟, 刘朋, 李士龙.基于改进布谷鸟搜索算法的压气机特性曲线预测[J],推进技术,2024
- [2]王圣博, 姜孝谟, Chen, Bingyan, Yang, Haibin, Hui, Huaiyu.A Novel Time-Varying Structural Element for Morphological Filtering-Based Bearing Fault Diagnosis[A],Mechanisms and Machine Science,2024,141 MMS:155-164
- [3]董永耀, 姜孝谟, Yang, Haibin.A Fault Early Warning Method for Centrifugal Compressors Based on Multi-Task Gaussian Processes[A],Mechanisms and Machine Science,2024,141 MMS:249-260
- [4]鲁业明, 郭振洋, 张美娜, 姜孝谟, 王晓放.Flow-heat coupling analysis of the 1/4 symmetrical CAP1400 nuclear island loop based on the sourc...[J],Annals of Nuclear Energy,2024
- [5]王圣博, 姜孝谟, 陈丙炎, 程尧, 梅桂明.基于增强时变形态学滤波的铁路车辆轴箱轴承故障诊断[J],西南交通大学学报,2024
- [6]鲁业明, 郭振洋, 张美娜, 姜孝谟, 王晓放.Flow-heat coupling analysis of the 1/4 symmetrical CAP1400 nuclear island loop based on the sourc...[J],Annals of Nuclear Energy,2024,211
- [7]刘昶军, 曹士铎, 漆超, 王晓放, 姜孝谟, Sui, Yongfeng, 刘海涛.A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting t...[J],ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2024,138
- [8]韦曼曼, 刘祎阳, 葛新, 姜孝谟.A PHYSICS-INFORMED DEEP LEARNING APPROACH FOR HDGT COMPRESSOR PERFORMANCE SIMULATION[A],PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 12D,2024
- [9]刘祎阳, 韦曼曼, 葛新, 姜孝谟.RESEARCH ON PERFORMANCE DEGRADATION PREDICTION METHOD OF HEAVY-DUTY GAS TURBINE BASED ON DATA-PHY...[A],PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 4,2024
- [10]惠怀宇, 陈荟泽, 张可欣, 姜孝谟.A WIND TURBINE POWER FORECASTING METHOD BASED ON MTGP TRANSFER LEARNING[A],PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 13,2024
- [11]陈荟泽, 张可欣, 姜孝谟, Hull, Huaiyu.A WIND SPEED FORECASTING METHOD USING A GAUSSIAN PROCESS REGRESSION MODEL CONSIDERING DATA UNCERT...[A],PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 13,2024
- [12]孙恩, 赵海心, 姜孝谟, 吕仕杰.基于有限元的风电机组双列调心滚子轴承变精度建模方法[J],轴承,2024,09:10-15
- [13]曹士铎, 刘昶军, 漆超, Xu, He, 姜孝谟, Zhang, Xuan, Yan, Binbin, 王晓放, 刘海涛.Transfer condition assessment of gas turbines via double multi-task Gaussian process[J],ADVANCED ENGINEERING INFORMATICS,2024,62
- [14]姜孝谟, 韦曼曼, Liu, Yiyang, Wang, Zhicheng.A Thermodynamics-Informed Deep Learning Approach for Lightweight Modelling of Gas Turbine Perform...[J],SSRN,2024
- [15]Peng, Zhangtao, Fang, Qian, Ai, Qing, 姜孝谟, Wang, Hui, Huang, Xingchun, Yuan, Yong.Identifying the dominant influencing factors of secondary lining cracking risk in an operating mo...[J],2024,15(4):731-756
- [16]Gao, Zhiyuan, 崔明清, 姜孝谟.A novel nonlinear fatigue cumulative damage model based on machine learning[J],2024,188
- [17]Zhou, Bo, 胡朝栋, Jin, Guangqiu, Yu, Jiawei, 姜孝谟, Zhang, Guiyong.Design of UDE-based finite-time fault-tolerant control for DP vessels with complex disturbances a...[J],OCEAN ENGINEERING,287
- [18]王志成, Fan, Dixia, 姜孝谟, Triantafyllou, Michael S., Karniadakis, George Em.Deep reinforcement transfer learning of active control for bluff body flows at high Reynolds numb...[J],JOURNAL OF FLUID MECHANICS,973
- [19]姜孝谟, 王志成, Chen, Qing, Cheng, Xueyu, 徐胜利, Yang, Shuhua, Meng, Jigang.An orbit-based encoder-forecaster deep learning method for condition monitoring of large turbomac...[J],EXPERT SYSTEMS WITH APPLICATIONS,238
- [20]姜孝谟, 李郁, 王志成, Hui, Huaiyu, Cheng, Xueyu.OrbitDANN: A Mechanism-Informed Transfer Learning Method for Automatic Fault Diagnosis of Turboma...[J],IEEE Sensors Journal,2024,24(2):2228-2241