2005―2010上海交通大學(xué) 機(jī)械電子工程博士
2003―2006上海交通大學(xué) 機(jī)械電子工程碩士
1998―2002上海交通大學(xué) 熱能與動力工程專業(yè)

2019-至今     上海交通大學(xué), 機(jī)械與動力工程學(xué)院,  副研究員，博士生導(dǎo)師

2013-2019    上海交通大學(xué), 機(jī)械與動力工程學(xué)院,  助理研究員

2010-2013    美國國家基金委智能維護(hù)中心, 辛辛那提大學(xué)  博士后

1. 機(jī)器健康與智能運(yùn)維

2. 數(shù)字孿生與智能制造

3. 大語言模型與知識圖譜應(yīng)用

4. 運(yùn)維機(jī)器人

5. 新型傳感器

2009-至今 Mechanical Systems and Signal Processing 審稿人
2016-至今 IEEE Transactions on Industrial Electronics 審稿人
2017-至今 Journal of Prognostics and Health Management 副編委

縱向項目：
2024-2027   國家自然科學(xué)基金面上項目：基于半實物孿生特征空間Ricci流方法的柔性軸聯(lián)系統(tǒng)健康評估研究（項目號：52375109），負(fù)責(zé)人
2020-2023   國家自然科學(xué)基金面上項目：港口重載AGV用大功率開關(guān)磁阻電機(jī)健康評估方法研究，負(fù)責(zé)人
2013-2016   國家自然科學(xué)基金青年項目：大功率車用開關(guān)磁阻電機(jī)熱-噪耦合機(jī)理及抑制方法，負(fù)責(zé)人
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2023-2026  國家重點研發(fā)計劃高性能制造技術(shù)與重大裝備專項：部件-系統(tǒng)-環(huán)境虛實組態(tài)試驗數(shù)字孿生技術(shù)（項目號：2023YFB3408502），負(fù)責(zé)人
2017-2019   國家重點研發(fā)計劃智能機(jī)器人專項 ：重載AGV狀態(tài)智能監(jiān)控與診斷技術(shù)，負(fù)責(zé)人
2015-2017   國家科技支撐計劃子課題：針劑灌裝機(jī)器人自動化生產(chǎn)線研制與示范，負(fù)責(zé)人
2014-2016   國家科技支撐計劃：低碳環(huán)控型溫室結(jié)構(gòu)及配套裝備研制與產(chǎn)業(yè)化示范，負(fù)責(zé)人
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2019-2020   上海市經(jīng)信委項目課題 ：人工智能技術(shù)在汽車動力總成加工生產(chǎn)線中的應(yīng)用，負(fù)責(zé)人
2014-2016   上海市科委項目：食品無菌紙盒包裝生產(chǎn)線一體化管控系統(tǒng)研究，負(fù)責(zé)人

企業(yè)等其他項目：
2023-2025  寶鋼股份：熱軋帶鋼鐵皮類表面質(zhì)量缺陷分析基礎(chǔ)方法研究及知識庫平臺功能開發(fā)，負(fù)責(zé)人
2023-2024  中國福利會國際和平婦幼保健院：基于注意力機(jī)制的卵巢癌靶向超抗原結(jié)構(gòu)預(yù)測與設(shè)計（項目號：YG2023QNB26），交大負(fù)責(zé)人
2022-2023  上海市特種設(shè)備監(jiān)督檢驗技術(shù)研究院：基于視覺與位姿融合的動態(tài)測量系統(tǒng)關(guān)鍵技術(shù)研究，負(fù)責(zé)人
2018-2020   徐工集團(tuán)：起重機(jī)可靠性設(shè)計指標(biāo)分解與管理系統(tǒng)開發(fā)，負(fù)責(zé)人
2027-2019   仁濟(jì)醫(yī)院：利用模式識別技術(shù)對胃腸道腫瘤中浸潤性免疫細(xì)胞多表型特征及其微環(huán)境進(jìn)行定量分析的研究，交大負(fù)責(zé)人
2016-2017   上海隧道：基于大數(shù)據(jù)分析方法的盾構(gòu)裝備關(guān)鍵軸承與泥水泵性能評估與壽命預(yù)測，負(fù)責(zé)人
2015-2016   徐工集團(tuán)：輪式起重機(jī)產(chǎn)品全生命周期成本分析系統(tǒng)開發(fā)，負(fù)責(zé)人
2014-2016   山河智能：基于大容量鋰電池電池組的港口機(jī)械能量回收系統(tǒng)建模與仿真研究，負(fù)責(zé)人
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2016-2017   機(jī)械系統(tǒng)與振動國家重點實驗室課題：基于深度學(xué)習(xí)方法的設(shè)備健康云平臺設(shè)計與研究，負(fù)責(zé)人
2013-2016   青年教師起步項目：基于深度學(xué)習(xí)理論的開關(guān)磁阻電機(jī)自診斷方法，負(fù)責(zé)人
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2011-2013   美國國家自然科學(xué)基金：Design of Accelerated Prognostics and Health Management，Co-PI

SCI/EI期刊論文：
【智能維護(hù)/智能制造/數(shù)字孿生】
Augmentation-based discriminative meta-learning for cross-machine few-shot fault diagnosis.  Science China Technological Sciences,  2023, Vol. 66 No. 6: 1698-1716
Adaptive feature utilization with separate gating mechanism and global temporal convolutional network for remaining useful life prediction.  IEEE Sensors Journal, 2023, VOL. 23, NO. 18: 21408-21420
A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern. Reliability Engineering and System Safety, 2023, 235: 109256
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction. Journal of Intelligent Manufacturing, 2023, https://doi.org/10.1007/s10845-023-02215-z
Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout. Knowledge-Based Systems, 2022, 239:107902
Fault Knowledge Transfer Assisted Ensemble Method for Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics, 2022, 18(3):1758-1769
Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals. Measurement, 2021, 176:109186
Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network. Measurement. 2021, 173:108500
Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization. Journal of Intelligent Manufacturing, 2021, 32(2):377-391
A svm and slic based detection method for paddy field boundary line. Sensors, 2020, 20(9):2610
A health management system for large vertical mill. International Journal of Distributed Sensor Networks, 2020, 16(3)
Internal leakage identification of hydraulic cylinder based on intrinsic mode functions with random forest. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233(15):5532-5544
Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233(14):5131-5143
Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning. IEEE Access, 2019,7,8732382: 80937-80949
Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN. Shock and Vibration, 2019, 8325218
A stack fusion model for material removal rate prediction in chemical-mechanical planarization process. International Journal of Advanced Manufacturing Technology, 2018, 99:2407-2416
Featured temporal segmentation method and AdaBoost-BP detector for internal leakage evaluation of a hydraulic cylinder. Measurement, 2018, 130:279-289
Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation. Frontiers of Information Technology and Electronic Engineering, 2018, 19(11):1352-1361
Online Condition Monitoring of Gripper Cylinder in TBM Based on EMD Method. Chinese Journal of Mechanical Engineering (English Edition), 2017, 30(6):1325-1337
Improved feature extraction using structured Fisher discrimination sparse coding scheme for machinery fault diagnosis. Advances in Mechanical Engineering, 2016, 8(12):1-16
Wind turbines abnormality detection through analysis of wind farm power curves. Measurement, 2016, 93:178-188
Discriminant diffusion maps analysis: A robust manifold learner for dimensionality reduction and its applications in machine condition monitoring and fault diagnosis. Mechanical Systems and Signal Processing, 2013, 34:277-297
A mobility performance assessment on plug-in EV battery International. Journal of Prognostics and Health Management, 2012, 3(2)
Adaptive feature extraction using sparse coding for machinery fault diagnosis. Mechanical Systems and Signal Processing, 2011, 25(2):558-574
A lean model for performance assessment of machinery using second generation wavelet packet transform and Fisher criterion. Expert Systems with Applications, 2010, 37(5):3815-3822
An enhanced feature extraction model using lifting-based wavelet packet transform scheme and sampling-importance-resampling analysis. Mechanical Systems and Signal Processing, 2009, 23(8): 2470-2487
基于改進(jìn)Transformer的復(fù)合故障解耦診斷方法. 浙江大學(xué)學(xué)報(工學(xué)版), 2023, 57(05):855-864
基于概率稀疏自注意力的IGBT模塊剩余壽命跨工況預(yù)測. 上海交通大學(xué)學(xué)報, 2023, 10.16183/j.cnki.jsjtu.2021.538
基于改進(jìn)堆棧自編碼的診斷錯誤標(biāo)簽修正. 振動與沖擊. 2022, 41(01):78-87
基于多傳感器信息融合和多粒度級聯(lián)森林模型的液壓泵健康狀態(tài)評估. 中國機(jī)械工程. 2021, 32(19):2374-2382
基于主成分分析馬氏距離的支腿控制閥健康評估. 振動與沖擊. 2020, 39(03):46-51
基于t分布鄰域嵌入與XGBoost的刀具多工況磨損評估. 機(jī)械工程學(xué)報, 2020, 56(01):132-140
基于梯度提升樹的飛機(jī)機(jī)身對接狀態(tài)識別. 浙江大學(xué)學(xué)報(工學(xué)版). 2019, 53(07):1274-1281
基于t-SNE數(shù)據(jù)驅(qū)動模型的盾構(gòu)裝備刀盤健康評估. 機(jī)械工程學(xué)報. 2019, 55(07):19-26
小數(shù)據(jù)條件下基于測地流核函數(shù)的域自適應(yīng)故障診斷方法研究. 振動與沖擊. 2018, 37(18):36-42
基于隨機(jī)森林與主成分分析的刀具磨損評估. 機(jī)械工程學(xué)報, 2017, 53(21):181-189
基于拉普拉斯特征馬氏距離的滾珠絲杠健康評估. 機(jī)械工程學(xué)報, 2017, 53(15):125-130
基于小波包和拉普拉斯特征值映射的柱塞泵健康評估方法. 振動與沖擊, 2017, 36(22):45-50
多尺度正交時序模型及其在網(wǎng)絡(luò)化設(shè)備預(yù)維護(hù)中的應(yīng)用. 上海交通大學(xué)學(xué)報. 2008 (07):1168-1172

【智慧醫(yī)療】
Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks. Knowledge-Based Systems, 2020, 193:105460
A high-precision arrhythmia classification method based on dual fully connected neural network. Biomedical Signal Processing and Control, 2020, 58:101874
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. Knowledge-Based Systems. 2020, 203:106122
A High Precision Real-time Premature Ventricular Contraction Assessment Method based on the Complex Feature Set. Journal of Medical Systems, 2020, 44:1-3
An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification. Journal of medical systems, 2019, 44:2-35
A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification. Computer Methods and Programs in Biomedicine, 2019, 171: 1-10
Inter-patient heartbeat classification based on region feature extraction and ensemble classifier. Biomedical Signal Processing and Control, 2019, 51:97-105
Frequency-response-based wavelet decomposition for extracting children's mismatch negativity elicited by uninterrupted sound. Journal of Medical and Biological Engineering, 2012, 32(3):205-214
Answering six questions in extracting children's mismatch negativity through combining wavelet decomposition and independent component analysis. Cognitive Neurodynamics, 2011, 5(4):343-359
用于心律失常識別的LSTM和CNN并行組合模型. 哈爾濱工業(yè)大學(xué)學(xué)報. 2019, 51(10):76-82

【機(jī)器人/機(jī)電系統(tǒng)】
Analysis on accuracy of rotor-locked transient-response-based vibration model for switched reluctance machines. IET Electric Power Applications, 2022, 16(5):616-633
Natural teaching for humanoid robot via human-in-the-loop scene-motion cross-modal perception. Industrial Robot, 2019, 46(3):404-414
Predictive current control of a switched reluctance machine in the direct-drive manipulator of cloud robotics. Cluster Computing, 2017, 20(4):3037-3049
Simulation of Switched Reluctance Motor Drive System Based on Multi-Physics Modeling Method. IEEE Access, 2017, 5 8115150:26184-26189
An Improved Model Predictive Current Controller of Switched Reluctance Machines Using Time-Multiplexed Current Sensor. Sensors, 2017, 17(5)
Dynamic analysis of wind turbines including nacelle-tower-foundation interaction for condition of incomplete structural parameters. Advances in Mechanical Engineering , 2017, 9(3)
一種基于靜力學(xué)預(yù)計算的開關(guān)磁阻電機(jī)模態(tài)仿真方法. 上海交通大學(xué)學(xué)報, 2017, 51(10):1181-1188.
基于WebGIS/GPRS/GPS的設(shè)備遠(yuǎn)程監(jiān)測系統(tǒng). 計算機(jī)工程, 2007(03):225-227
Deep learning-based segmentation and quantification of cucumber powdery mildew using convolutional neural network. Frontiers in Plant Science, 2019, 10, 155
Detecting tomatoes in greenhouse scenes by combining AdaBoost classifier and colour analysis. Biosystems Engineering, 2016, 148: 127-137
Robust tomato recognition for robotic harvesting using feature images fusion. Sensors, 2016, 16(2):173
番茄采摘機(jī)器人非顏色編碼化目標(biāo)識別算法研究. 農(nóng)業(yè)機(jī)械學(xué)報. 2016, 47(07):1-7

授權(quán)發(fā)明專利
1. Mohamed Abuali, Yixiang Huang, Jay Lee,Seyed Mohammad Rezvani. Method and system for electric vehicle battery prognostics and health management. 國際專利 WO 2012149118 A1, 美國專利 US20120296512
2. 李杰, 黃亦翔. 電動車行動力管理系統(tǒng). 2013.05.01, 中國, 201010545833.8
3. 李杰, 黃亦翔. 電動車電池安全與健康評估系統(tǒng)及其方法. 2014.11.12, 中國, 201110441125.4
4. 李杰, 黃亦翔. 快速電池剩余電量估計系統(tǒng)及其方法. 2015.10.14, 中國, 201110440860.3
5. 李杰, 黃亦翔, 馮智泉. 基于電動車電池數(shù)據(jù)提取道路車輛行駛狀況的方法, 2014.08.06, 中國, 201210017808.1  
6. 劉成良, 汪一波, 黃亦翔. 基于物理組件模型和實時數(shù)據(jù)的風(fēng)力發(fā)電機(jī)組監(jiān)測系統(tǒng). 2016.07.06, 中國, 201410268357.8
7. 劉成良, 王雙園, 黃亦翔, 貢亮, 李彥明. 智能風(fēng)電機(jī)組工況辨識系統(tǒng)及方法, 2015.07.15, 中國, 201310056495.5