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鄢小安 封面图

鄢小安 (Xiaoan Yan)

nanjing forestry university

39H指数
108论文数
5.0K被引数
收录论文 67
发表时间
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MIMGFN: a novel multi-information multi-level gated fusion network for remaining useful life prediction of rolling bearingsMIMGFN：一种用于滚动轴承剩余使用寿命预测的新型多信息多级门控融合网络
errMeasurement Science and Technology
IF3.4
err2026-05-01
err0
PREAI
errWang, Yuting; Yan, Xiaoan; Xiang, Ling; Jiang, Dong
err分享
err收藏
A novel adaptive stepwise wavelet mode decomposition method for compound fault diagnosis of rolling bearings一种用于滚动轴承复合故障诊断的新型自适应逐步小波模态分解方法
errStructural Health Monitoring-An International Journal
IF5.7
err2026-04-26
err0
PREAI
errXiaoan Yan; Yu Han; Ling Xiang; Chenbo Ma; Dong Jiang
err分享
err收藏
Bearing health status assessment based on unsupervised clustering and dual-prediction model基于无监督聚类和双预测模型的轴承健康状态评估
errMeasurement Science and Technology
IF3.4
err2026-04-22
err0
PREAI
errJiayue Chen; Wan Zhang; Xiaogang Zhang; Xiaoan Yan
err分享
err收藏
Fault diagnosis of rolling bearings in high-noise environments based on a variational gated hierarchical memory network基于变分门控分层记忆网络的高噪声环境下滚动轴承故障诊断
errMeasurement Science and Technology
IF3.4
err2026-01-07
err0
PREAI
errZhimin Zhao; Xiaoan Yan; Ling Xiang; Dong Jiang
err分享
err收藏
Physics-informed blind wavelet deconvolution transfer network for cross-machine bearing fault diagnosis基于物理信息盲小波反卷积迁移网络的跨设备轴承故障诊断
errEngineering Applications of Artificial Intelligence
IF8
err2025-12-18
err0
PREAI
errHao Su; Hongfu Zhang; Xiaoan Yan
err分享
err收藏
Weak fault diagnosis method of rolling bearing based on improved dung beetle optimisation feature mode decomposition基于改进的粪金龟优化算法特征模态分解的滚动轴承弱故障诊断方法
errNondestructive Testing and Evaluation
IF4.2
err2025-12-11
err0
PREAI
errYu Han; Xiaoan Yan; Xiaopeng Jin; Ling Xiang; Dong Jiang
err分享
err收藏
Dynamic Modeling and Analysis of Rotary Joints with Coupled Bearing Tilt-Misalignment Faults
errENTROPY
IF2
err2025-10-31
err0
errOAAI
errLu, Jun; Zhu, Zixiang; Ji, Jie; Yang, Yichao; Miao, Xueyang; Yan, Xiaoan; Liu, Qinghua
err分享
err收藏
Rolling bearing degradation stage division and RUL prediction based on recursive exponential slow feature analysis and Bi-LSTM model基于递归指数慢特征分析与Bi-LSTM模型的滚动轴承退化阶段划分和剩余使用寿命预测
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2025-07-01
err0
PREAI
errLi, Xinliang; Zhang, Wan; Ding, Yu; Cai, Jun; Yan, Xiaoan
err分享
err收藏
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios一种多分支注意力耦合卷积域适应网络，用于无标签样本场景下的轴承智能故障识别
errAPPLIED SOFT COMPUTING
IF6.6
err2025-04-01
err0
PREAI
errYe, Maoyou; Yan, Xiaoan; Jiang, Dong; Chen, Ning
err分享
err收藏
Remaining useful life prediction of motor bearings based on slow feature analysis-assisted attention mechanism and dual-LSTM networks基于慢特征分析辅助注意力机制和双LSTM网络的电机轴承剩余寿命预测
errSTRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
IF5.7
err2025-03-01
err0
PREAI
errZhang, Wan; Zhang, Xiaogang; Yan, Xiaoan; Xu, Yadong; Cai, Jun
err分享
err收藏
Intelligent fault diagnosis based on multi-sensor data fusion and multi-scale dual attention enhanced network基于多传感器数据融合和多尺度双注意力增强网络的智能故障诊断
errMEASUREMENT SCIENCE AND TECHNOLOGY
IF3.4
err2025-01-21
err0
PREAI
errZhang, Weizhong; Yan, Xiaoan; Ye, Maoyou; Hua, Xing
err分享
err收藏
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2025-01-01
err4
PREAI
errYe, Maoyou; Yan, Xiaoan; Hua, Xing; Jiang, Dong; Xiang, Ling; Chen, Ning
err分享
err收藏
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis
errINFORMATION FUSION
IF15.5
err2024-12-01
err6
PREAI
errYan, Xiaoan; Jiang, Dong; Xiang, Ling; Xu, Yadong; Wang, Yulin
err分享
err收藏
Remaining useful life prediction of rolling bearings based on CNN-GRU-MSA with multi-channel feature fusion基于多通道特征融合的cnn-gru-msa滚动轴承剩余寿命预测
errNONDESTRUCTIVE TESTING AND EVALUATION
IF4.2
err2024-09-28
err3
PREAI
errYan, Xiaoan; Jin, Xiaopeng; Jiang, Dong; Xiang, Ling
err分享
err收藏
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-09-01
err0
PREAI
errCao, Yudong; Jia, Minping; Zhao, Xiaoli; Yan, Xiaoan; Feng, Ke
err分享
err收藏
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment
errIEEE INTERNET OF THINGS JOURNAL
IF8.9
err2024-08-15
err2
PREAI
errCao, Yudong; Ni, Qing; Jia, Minping; Zhao, Xiaoli; Yan, Xiaoan
err分享
err收藏
A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder
errSTRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
IF5.7
err2024-07-25
err6
PREAI
errZhao, Xiaoli; Hu, Yuanhao; Liu, Jiahui; Yao, Jianyong; Deng, Wenxiang; Hu, Jian; Zhao, Zhuanzhe; Yan, Xiaoan
err分享
err收藏
Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
errIEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
IF8.3
err2024-06-01
err11
PREAI
errXu, Yadong; Yan, Xiaoan; Sun, Beibei; Feng, Ke; Kou, Linlin; Chen, Yuejian; Li, Yifan; Chen, Hongtian; Tian, Engang; Ni, Qing; Wang, Yulin
err分享
err收藏
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence考虑源数据缺失的机器可转移剩余使用寿命预测的无源域自适应
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2024-06-01
err5
PREAI
errCao, Yudong; Zhuang, Jichao; Miao, Qiuhua; Jia, Minping; Feng, Ke; Zhao, Xiaoli; Yan, Xiaoan; Ding, Peng
err分享
err收藏
Sensitivity analysis of the rotor-bearing system with fractional power nonlinearity using multicomplex variable derivation
errNONLINEAR DYNAMICS
IF6
err2024-04-06
err1
PREAI
errLi, Ang; Qian, Hui; Ma, Yinhang; Yan, Xiaoan; Cao, Zhifu; Zhu, Rui; Jiang, Dong
err分享
err收藏

研究方向

高端装备状态监测与故障诊断机械系统动力学建模信号处理与机器学习人工智能与模式识别故障预测与健康管理结构损伤识别与健康监测叶茂友姜东陈宁刘英机械故障诊断方法谢超基于深度小波核变分自编码器的机械故障诊断方法和系统故障诊断方法卢彦宇卷积神经网络机械故障诊断深度残差变分自编码器故障诊断旋转机械故障诊断朱泓宇鄢小安费叶琦图像超分辨率重建方法汤浩陆志杰孙见君张玉言韩权王志良崔伟胡爱军陈涛胡思磊主要讲授测试技术、数控技术、机电一体化系统设计等专业核心课程
合作学者
合作期刊
M
Michael Pecht
H 指数: 104 · 论文数: 1.5K
R
Ruqiang Yan
H 指数: 82 · 论文数: 574
Z
Zheng Liu
H 指数: 63 · 论文数: 990
E
Engang Tian
H 指数: 58 · 论文数: 331
K
Ka‐Veng Yuen
H 指数: 55 · 论文数: 310
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