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姜

姜孝谟 (Xiaomo Jiang)

Dalian University of Technology

32H指数
161论文数
4.3K被引数
收录论文 27
发表时间
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Multi-variable intelligent auto-calibration of transient performance model for gas turbines using data-physics fusion基于数据-物理融合的燃气轮机瞬态性能模型多变量智能自校准
errApplied Thermal Engineering
IF6.9
err2025-11-06
err0
PREAI
errYiyang Liu; Xiaomo Jiang; Yening Wang; Xueyu Cheng
err分享
err收藏
Remaining useful life prediction for the harmonic reducer of industrial robots via in-situ current signal and lightweight multiscale attention deep networks基于原位电流信号和轻量级多尺度注意力深度网络的工业机器人谐波减速器剩余使用寿命预测
errJournal of Manufacturing Systems
IF14.2
err2025-09-23
err0
PREAI
errYuhan Yuan; Yanfeng Han; Ke Xiao; Zhongying Xu; Xiaomo Jiang
err分享
err收藏
T-BGA-CA: A Multi-Level Attention-Based BiGRU model for early fault warning in unmanned ocean platform electromechanical systemsT-BGA-CA：一种基于多级注意力机制的BiGRU模型，用于无人海洋平台机电系统的早期故障预警
errMechanical Systems and Signal Processing
IF8.9
err2025-08-30
err0
PREAI
errYanmu Chen; Yeming Lu; Jianping Cheng; Yujie Guo; Zeyu Zheng; Xiaofang Wang; Xiaomo Jiang
err分享
err收藏
Development and Engineering Application of Fault Early Warning Model for Large Hydropower Turbine Based on Principal Component Analysis and Long Short-Term Memory Network基于主成分分析和长短时记忆网络的大型水轮机故障早期预警模型的开发与工程应用
errIEEE Sensors Journal
IF4.5
err2025-08-15
err0
PREAI
errYouchun Pi; Yanmu Chen; Shengbo Wang; Yun Tan; Xiaomo Jiang; Xiaofang Wang; Lunjun Ding; Linzhi Zhang; Yeming Lu
err分享
err收藏
Physics-Embedded Machine Learning for Fatigue Cumulative Damage Prediction嵌入式物理机器学习方法用于疲劳累积损伤预测
errFatigue & Fracture of Engineering Materials & Structures
IF3.2
err2025-07-24
err0
PREAI
errZhiyuan Gao; Xiaomo Jiang; Yifan Guo; Mingqing Cui; Shengbo Wang
err分享
err收藏
Efficient large-scale graph learning for predicting the 3D multi-physics flow fields of axial compressor Rotor37 with variable geometry有效的大规模图形学习，用于预测具有可变几何形状的轴流压缩机Rotor37的3D多物理场
errENERGY
IF9.4
err2025-07-01
err0
PREAI
errHao, Yichen; Liu, Qinglong; Li, Jia; Zuo, Siyuan; Liu, Yiyang; Wang, Xiaofang; Jiang, Xiaomo; Liu, Haitao
err分享
err收藏
Autocorrelation-based time synchronous averaging for condition monitoring of gearboxes in wind turbines基于自相关的时间同步平均，用于风力涡轮机齿轮箱的状态监测
errMEASUREMENT
IF5.6
err2025-05-01
err0
PREAI
errYang, Haibin; Jiang, Xiaomo; Zhao, Haixin; Wang, Zhicheng; Cheng, Xueyu
err分享
err收藏
Investigation on morphological filtering via enhanced adaptive time-varying structural element for bearing fault diagnosis
errMEASUREMENT
IF5.6
err2025-02-01
err0
PREAI
errWang, Shengbo; Chen, Bingyan; Cheng, Yao; Jiang, Xiaomo
err分享
err收藏
A novel nonlinear fatigue cumulative damage model based on machine learning基于机器学习的非线性乏力累积损伤模型
errINTERNATIONAL JOURNAL OF FATIGUE
IF6.8
err2024-11-01
err1
PREAI
errGao, Zhiyuan; Jiang, Xiaomo; Cui, Mingqing
err分享
err收藏
Transfer condition assessment of gas turbines via double multi-task Gaussian process
errADVANCED ENGINEERING INFORMATICS
IF9.9
err2024-10-01
err0
PREAI
errCao, Shiduo; Liu, Changjun; Xu, He; Jiang, Xiaomo; Zhang, Xuan; Yan, Binbin; Qi, Chao; Wang, Xiaofang; Liu, Haitao
err分享
err收藏
Application of the fast 3D simplified simulation method for the large CAP1400 nuclear island evaporator based on the coupled source term method
errENERGY
IF9.4
err2024-07-01
err3
PREAI
errGuo, Zhenyang; Chen, Yanmu; Lu, Yeming; Wang, Tongjun; Wang, Xiaofang; Jiang, Xiaomo
err分享
err收藏
Identifying the dominant influencing factors of secondary lining cracking risk in an operating mountain tunnel某运营山岭隧道二次衬砌开裂风险主导影响因素识别
errinternational journal for educational integrity
IF3
err2024-06-10
err0
PREAI
errPeng, Zhangtao; Fang, Qian; Ai, Qing; Jiang, Xiaomo; Wang, Hui; Huang, Xingchun; Yuan, Yong
err分享
err收藏
An orbit-based encoder-forecaster deep learning method for condition monitoring of large turbomachines用于大型涡轮机状态监测的基于轨道的编码器-预报器深度学习方法
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-03-01
err6
PREAI
errJiang, Xiaomo; Wang, Zhicheng; Chen, Qing; Cheng, Xueyu; Xu, Shengli; Yang, Shuhua; Meng, Jigang
err分享
err收藏
OrbitDANN: A Mechanism-Informed Transfer Learning Method for Automatic Fault Diagnosis of TurbomachineryOrbitDANN: 一种用于涡轮机械自动故障诊断的机制通知转移学习方法
errIEEE SENSORS JOURNAL
IF4.5
err2024-01-15
err5
PREAI
errJiang, Xiaomo; Li, Yu; Wang, Zhicheng; Hui, Huaiyu; Cheng, Xueyu
err分享
err收藏
Deep reinforcement transfer learning of active control for bluff body flows at high Reynolds number
errJOURNAL OF FLUID MECHANICS
IF3.9
err2023-10-20
err20
PREAI
errWang, Zhicheng; Fan, Dixia; Jiang, Xiaomo; Triantafyllou, Michael S.; Karniadakis, George Em
err分享
err收藏
Learning Multitask Gaussian Process Over Heterogeneous Input Domains在异构输入域上学习多任务高斯过程
errieee transactions on cybernetics
IF8.7
err2023-10-01
err2
errOAAI
errLiu, Haitao; Wu, Kai; Ong, Yew-Soon; Bian, Chao; Jiang, Xiaomo; Wang, Xiaofang
err分享
err收藏
An entropy viscosity method for large eddy simulation of turbulent thermal flow in a rotor-stator cavity用于转子-定子腔中湍流热流的大涡模拟的熵粘度方法
errPHYSICS OF FLUIDS
IF4.3
err2023-03-17
err9
PREAI
errDu, Qiang; Xie, Yaguang; Wang, Zhicheng; Jiang, Xiaomo; Xie, Lei
err分享
err收藏
Deep Latent-Variable Kernel Learning深度潜变量核学习
errIEEE TRANSACTIONS ON CYBERNETICS
IF10.5
err2022-10-01
err5
errOAAI
errLiu, Haitao; Ong, Yew-Soon; Jiang, Xiaomo; Wang, Xiaofang
err分享
err收藏
Deep probabilistic time series forecasting using augmented recurrent input for dynamic systems使用动态系统的增强递归输入进行深度概率时间序列预测
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2022-09-01
err1
errOAAI
errLiu, Haitao; Liu, Changjun; Jiang, Xiaomo; Chen, Xudong; Yang, Shuhua; Wang, Xiaofang
err分享
err收藏
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties走向系统的智能监控: 集成的非参数贝叶斯KDE和LSTM方法，用于不确定性条件下旋转机械的异常检测
errSTRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
IF5.7
err2022-08-17
err4
PREAI
errZhao, Haixin; Jiang, Xiaomo; Wang, Bo; Cheng, Xueyu; Xu, Shengli
err分享
err收藏

研究方向

能源物联网综合能源边缘计算远程可靠性和性能监测旋转机械智慧运维预测维护汽机离心压缩机监测预警智能诊断能效模拟 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
合作学者
合作期刊
H
Hojjat Adeli
H 指数: 132 · 论文数: 643
G
George Em Karniadakis
H 指数: 130 · 论文数: 1.2K
J
J. Cheng
H 指数: 88 · 论文数: 508
X
Xuan Zhang
H 指数: 84 · 论文数: 1.5K
Y
Yew-Soon Ong
H 指数: 81 · 论文数: 783
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