刘小峰(教授)

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  • 博士生导师  硕士生导师
  • 教师英文名称:Xiaofeng Liu
  • 电子邮箱:
  • 所在单位:机械与运载工程学院
  • 办公地点:重庆大学主教学楼1508
  • 性别:女
  • 联系方式:13678464584
  • 在职信息:在职
  • 毕业院校:重庆大学
  • 所属院系:机械与运载工程学院
  • 学科:机械电子工程

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  • 个人简介

 刘小峰,女,湖北荆州人,博士,教授、博士生导师。1998年进入重庆大学本科学习,2002年本校攻读硕士学位,2003年至2007在重庆大学机械电子工程专业硕博连读,获工学博士学位, 2007年至今任职于重庆大学机械与运载工程学院, 2009年晋升为副教授,2014年晋升为教授。2011年至2013年期间分别在昆士兰大学、罗马大学及新加坡国立大学进行访问研究。

    学术经历:负责或作为主要完成人完成国家自然科学基金项目、国家863项目、国家重点研发计划、重庆市自然科学基金、企业合作项目等多项科研项目。在《IEEE Transactions on Industrial Informatics》、《Mechanical Systems and Signal Processing》、《Measurement》、《Journal of Sound and Vibration》、《International Journal of Fatigue》、《IEEE Transactions on Instrumentation and Measurement》、《Renewable Energy》、《Signal Processing》《Journal of Renewable and Sustainable Energy》、《机械工程学报》、《仪器仪表学报》、《控制与决策》、《电子测量与仪器学报》、《振动与冲击》等国内外著名杂志和会议上发表论文100余篇,获省部级科学技术发明奖1项,其他奖励2项;获专利18项,  兼任全国高校机械工程测试技术研究会理事、中国机械工程学会高级会员,国际知名期刊《Journal of Sound and Vibration》、《Engineering Applications of Artificial Intelligence》,《Nerocomputing》、《Measurement》等多个SCI期刊的常任审稿人

    主讲课程

研究生:《现代信号处理》

本科生:《Feedback control》、《测控技术》

  毕业研究生就业去向、招生/招聘意向

    已毕业研究生60名,继续攻博4人,毕业研究生主要就职于华为、大疆、海康威视、迈瑞、上汽等知名企业与研究机构。热忱欢迎智能测试、设备监测与诊断、大数据处理、超声无损监测等领域相关的学生推免/报考硕士、博士研究生博士后。

  • 代表性学术论文

[1].    Xiaofeng Liu, Junfeng Li, Lin Bo, Fan YangFeature-oriented unified dictionary learningbased sparse classification for multi-domain fault diagnosisSignal ProcessingVolume 221, August 2024, 109485.

[2].    Liu, Xiaofeng; Ai, Fan; Bo, Lin; Pu, Kaiquan; Luo, Honglin; Wei, Daiping Detection and Quantization , INDUSTRIAL INFORMATICS of Fatigue Damage in Laminated Composites With Cross Recursive Quantitative Analysis IEEE TRANSACTIONS ON Informatics , 2021, 17(3)1553-1561. 

[3].     Xiaofeng Liu; Bangxin Wang; Fan Ai; Daiping Wei; Lin Bo Evaluation of matrix cracking in composite , laminates based on anomaly indices International Journal of Fatigue , 2020, 140105841. 

[4].    Daiping Wei; Xiaofeng Liu; Bangxin Wang; Zhi Tang; Lin Bo Damage quantification of aluminum plates , using SC-DTW method based on Lamb waves Measurement Science and Technology , 2022, 33(4)045001.

[5].    Xiaofeng Liu; Wan Liu; Hongsheng Huang; Lin Bo An improved confusion matrix for fusing multiple K-SVD , , 2022, 64(3)703-722. 

[6].     Hong Zhang; Xiaofeng Liu ; Chang Peng; Honglin Luo ; Damage quantification in composite laminates based , on sparsity-difference estimation of the normal time-frequency representation Composite Structures2023 318(5)117093-117105.

[7].    Lin Bo; Xiaofeng Liu ; Guanji Xu , Intelligent Diagnostics for Bearing faults Based on Integrated Interaction of Nonlinear Features IEEE Transactions on Industrial Informatics 16(2)1111-1118.  2020,  

[8].    Zhi Tang; Xiaofeng Liu ; Daiping Wei; Honglin Luo; Jiang Pu; Bo Lin ; data description model for fault diagnosis of gears Measurement , Enhanced multiclass support vector , 2022, 194(9)110974-110974.

[9].     Zhi Tang; Xiaofeng Liu ; kong Sun; Lin Bo ; Fault Diagnosis of Rotating Machinery Under Multiple INSTRUMENTATION AND MEASUREMENT Operating Conditions GeneralizationA Representation Gradient Muting Paradigm, IEEE TRANSACTIONS ON , 2022, 71(5)3525110-3525110. 

[10]. Liu Xiaofeng *, Bo Lin  and Yang Kangjun,et al Locating and imaging contact delamination based on chaotic detection of nonlinear Lamb waves, MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2018,109:58-73

[11]. Liu Xiaofeng *Bo Lin  and Hu Ning,et al Location identification of closed crack based on Duffing oscillator transient transition,2018,100:1-14, JOURNAL OF SOUND AND VIBRATION2017,405:1-12

[12]. Liu Xiaofeng , Bo L , Liu Y ,et al.Detection of micro-cracks using nonlinear lamb waves based on the Duffing-Holmes system[J].Journal of Sound and Vibration, 2017, 405:175-186

[13]. Liu, Xiaofeng* Wang, Bangxin; Ai, Fan Evaluation of matrix cracking in composite laminates based on anomaly indicesINTERNATIONAL JOURNAL OF FATIGUE2020,140

[14]. Lin BoLiu, Xiaofeng*Guanji XuIntelligent Diagnostics for Bearing Faults Based on Integrated Interaction of Nonlinear FeaturesIEEE Transactions on Industrial Informatics2020,1

[15]. Liu, Xiaofeng*; Pu, Kaiquan; Bo, Lin, et al. Quantitative estimation of nonlinearity parameter of noised lamb waves using a chaotic oscillator. JOURNAL OF SOUND AND VIBRATION,2018,438:476-489

[16]. Liu, Xiaofeng*; Bo, Lin; Luo Hongling, Directional cyclic demodulation with application to identification of rotor oil-film instability fault coupled with rub-impact, IET SCIENCE MEASUREMENT & TECHNOLOGY,2018,12(4)567-574

[17]. Liu, Xiaofeng*; Bo, Lin, Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM, Neurocomputing, 2015.3.25, 15236~44.

[18]. Liu, Xiaofeng* ; Bo, Lin; Wang, Li; Peng, Yongjing, Measurement and analysis of wind turbine blade mechanical load, Journal of Renewable and Sustainable Energy, 2015.1, 7(1)0~013101.

[19]. Liu, Xiaofeng* ; Bo, Lin; Luo, Honglin, Bearing faults diagnostics based on hybrid LS-SVM and EMD method, Measurement, 2015.1, 59145~166.

[20]. Xiaofeng Liu*; Lin Bo; Hongling Luo, Dynamical measurement system for wind turbine fatigue load, Renewable Energy, 2016.1.20, 86909~921.

[21]. Liu, Xiaofeng*; Bo, Lin; Luo, Honglin, Directional adaptive kernel distribution and its applicationIET Signal Processing, 2017.06, 11(4)387~395.

[22]. Liu, Xiaofeng*; Bo, Lin; Hu, Ning etc. Location identification of closed crack based on Duffing oscillator transient transition, Mechanical Systems and Signal Processing, 2018.02.1, 100384~397.

[23]. Liu, Xiaofeng*; Bo, Lin; Hu, Ning, et al. Detection of micro-cracks using nonlinear lamb waves based on the Duffing-Holmes system, Journal of Sound and Vibration, 2017.09.29, 405175~186.

[24]. Liu, Xiaofeng*; Bo, Lin; Luo, Honglin, Smoothing localized directional cyclic autocorrelation and application in oil-film instability analysis, Journal of Sound and Vibration, 2016.04.28, 368191~201.

[25]. Liu, Xiaofeng*, Bo, Lin; Yang, Kangjun, etc. Locating and imaging contact delamination based on chaotic detection of nonlinear Lamb waves, Mechanical Systems and Signal Processing, 2018.09.1, 10958~73.

[26]. Liu, Xiaofeng*; Bo, Lin; Luo Hongling, Directional cyclic demodulation with application to identification of rotor oil-film instability fault coupled with rub-impact, IET Science Measurement & Technology, 2018.07, 12(4)567~574.

[27]. Xiaofeng Liu*Lin Bo and Chang Peng. Application of order cyclostationary demodulation to damage detection in a direct-driven wind turbine bearingMeas. Sci. Technol. 25, (025004), 2014..

[28].  Xiaofeng Liu*, Lin Bo and Li Wang. Measurement and analysis of wind turbine blade mechanical loadJOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY71),2015..

[29].  Xiaofeng Liu*, Lin Bo and Hongling Luo. Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVMNeurocomputing1523),2015..

[30].  Xiaofeng Liu*, Lin Bo,Hongling Luo . Bearing faults diagnostics based on hybrid LS-SVM and EMD method MEASUREMENT591),2015.

[31].  Xiaofeng Liu*, Lin Bo Compensation method of propagating distance for guided waveIET SCIENCE MEASUREMENT & TECHNOLOGY91),2015.

[32]. Xiaofeng Liu*, Lin Bo M. Veidt. Application of correlation matching for automatic bearing fault diagnosis Journal of Sound and Vibration, 331(8),pp838-5852, 2012 

[33]. Xiaofeng Liu*, M Veidt, Lin Bo.Order analysis for measurement of Lamb wave propagation distance, Meas. Sci. Technol. 24(8), pp211-226, 2013. 

[34]. Xiaofeng Liu*, Lin Bo, M. VeidtTonality Evaluation of Wind Turbine Noise by Filter-Segmentation Measurement, 45(5), pp711-718, 2012.

[35].  Bo Lin,Liu Xiaofeng*, He Xingxi. Measurement system for wind turbines noises assessment based on LabVIEW. MEASUREMENT, 44(2), pp445-453, 2011. 

[36]. Liu Xiaofeng , Bo Lin, Luo Hongling, Dynamical measurement system for wind turbine fatigue load Renewable Energy, 2016.1.20, 86909~921

[37]. Liu Xiaofeng, Bo Lin, Luo Honglin, Smoothing localized directional cyclic autocorrelation and application in oil-film instability analysis, Journal of Sound and Vibration, 2016.04.28, 368191~201

[38]. Liu, Xiaofeng(#)(*), Bo Lin, Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM, Neurocomputing, 2015.3.25, 15236~44









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