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个人简介

教育经历: 1999.09-2003.06中国人民解放军军械工程学院机械工程及自动化(学士) 2003.06-2006.03中国人民解放军军械工程学院车辆工程(硕士) 2006.04-2010.12中国人民解放军军械工程学院火炮自动武器及弹药工程(博士) 工作经历: 2011.01-2014.12中国人民解放军军械工程学院,讲师 2015.01-2017.06中国人民解放军军械工程学院,副教授 2017.07-2018.12中国人民解放军陆军工程大学,副教授 2019.05-至今汕头大学工学院电子工程系,副教授

研究领域

主要研究领域为信号处理与机器学习 近五年科研情况: 1.国家自然基金青年基金项目:齿轮箱早期故障信号的数学形态学分析与智能分类方法研究[51205405],24万元,2013-2015(主持) 2.国家重点实验室基金:电磁环境信号的分形分析,13万元,2015-2016(主持) 3.汕头大学科研启动经费项目:数学形态学智能计算及应用[NTF19016],60万元,2019-2022(主持)

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1.BingLi,Shuang-shanMi,Peng-yuanLiu,Zheng-junWang.Classificationoftime-frequencyrepresentationsusingimprovedmorphologicalpatternspectrumforenginefaultdiagnosis.JournalofSoundandVibration,2013,332(13):3329-3337(SCI:000318131500015). 2.BingLi,Pei-linZhang,Shuang-shanMi,Ren-xiHu,Peng-yuanLiu,Applingthefuzzylatticeneurocomputing(FLN)classifiermodelforgearfaultdiagnosis,NeuralComputing&Application,2013,Vol22(3-4):627-636(SCI:000314844300022). 3.BingLi,Pei-linZhang,QiongMao,Shuang-shanMi,Peng-yuanLiu.Gearfaultdetectionusingadaptivemorphologicalgradientliftingwavelet.JournalofVibrationandControl,2013,19(11):1646-1657(SCI:000321565100004). 4.BingLi,Pei-linZhang,Shuang-shanMi,Peng-yuanLiu,Zheng-junWang.Enginefaultdiagnosisbasedonmorphologicalneuralnetworkusingmorphologicalfilterasapreprocessor.ProceedingsoftheInstitutionofMechanicalEngineersPartD:JournalofAutomobileEngineering,2013,227(4):490-505(SCI:000318181100004). 5.BingLi,Pei-linZhang,Zheng-junWang,Shuang-shanMi,Peng-yuanLiu,Morphologicalcoveringbasedgeneralizeddimensionforgearfaultdiagnosis,NonlinearDynamics,2012,Vol67(1):2561-2571(SCI:000300187500020). 6.BingLi,Pei-linZhang,Shuang-shanMi,Ren-xiHu,Dong-shengLiu.Anadaptivemorphologicalgradientliftingwaveletfordetectingbearingdefects.MechanicalSystemsandSignalProcessing,2012,Vol29(5):415-427(SCI:000303270800030). 7.BingLi,Pei-linZhang,Ren-xiHu,Shuang-shanMi,Peng-yuanLiu.Fuzzylatticeclassifieranditsapplicationtobearingfaultdiagnosis.AppliedSoftComputing,2012,Vol12(6):1708-1719(SCI:000302787900009). 8.BingLi,Pei-linZhang,HaoTian,Shuang-shanMi,Anewfeatureextractionandselectionschemeforhybridfaultdiagnosisofgearbox,ExpertSystemswithApplications,2011,38(8):10000-10009(SCI:000290237500107). 9.BingLi,Pei-linZhang,Shuang-shanMi,Ying-tangZhang,Dong-shengLiu,Multi-scalefractaldimensionbasedonmorphologicalcoveringforgearfaultdiagnosis,ProceedingsoftheInstitutionofMechanicalEngineersPartC:JournalofMechanicalEngineeringScience,2011,Vol225,Issue9:2242-2249(SCI:000294071900018). 10.BingLi,Pei-linZhang,Dong-shengLiu,Shuang-shanMi,Peng-yuanLiu,Classificationoftime-frequencyrepresentationsbasedontwo-direction2DLDAforgearfaultdiagnosis,AppliedSoftComputing,2011,Vol11(8):5299-5305(SCI:000296539700080). 11.BingLi,Pei-linZhang,Dong-shengLiu,Shuang-shanMi,FeatureextractionforrollingelementbearingfaultdiagnosisutilizinggeneralizedStransformandtwo-dimensionalnon-negativematrixfactorization,JournalofSoundandVibration,2011,330(10):2388-2399(SCI:000289326100020). 12.BingLi,Pei-linZhang,Shu-baoLiang,Ying-tangZhang,Hong-boFan,FeatureextractionforenginefaultdiagnosisutilizingthegeneralizedS-transformandnon-negativetensorfactorization,ProceedingsoftheInstitutionofMechanicalEngineersPartC:JournalofMechanicalEngineeringScience,2011,Vol225,Issue8:1936-1949(SCI:000293913900017). 13.BingLi,Pei-linZhang,Zheng-junWang,Shuang-shanMi,Dong-shengLiu,Aweightedmulti-scalemorphologicalgradientfilterforrollingelementbearingfaultdetection,ISATransactions,2011,50(4):599-608(SCI:00029550230009). 14.BingLi,Pei-linZhang,Zheng-junWang,Shuang-shanMi,Gearfaultdetectionusingmulti-scalemorphologicalfilters,Measurement,2011,44(10):2078-2089(SCI:000297084400032). 15.BingLi,Pei-linZhang,Shuang-shanMi,Dong-shengLiu,ApplicationofStransformandmorphologicalpatternspectrumforgearfaultdiagnosis,ProceedingsoftheInstitutionofMechanicalEngineersPartC:JournalofMechanicalEngineeringScience,2011,Vol225,Issue12:2963-2972(SCI:000298983900017). 16.李兵,张培林,任国全,刘东升,米双山.运用EMD和GA-SVM的齿轮故障特征提取与选择,振动、测试与诊断,2009,29(4):445~449(EI:20100412666963) 17.李兵,张培林,刘东升,任国全,米双山.基于形态梯度解调算子的齿轮故障特征提取,振动、测试与诊断,2010,30(1):29~34.(EI:20101812907077) 18.李兵,张培林,任国全,刘东升,米双山.基于数学形态学的分形维数计算及在轴承故障诊断中的应用,振动与冲击,2010,29(5):191~194.(EI:20101812907035,) 19.李兵,张培林,任国全,刘东升,米双山.基于形态提升小波变换的滚动轴承故障特征提取,振动、测试与诊断,2011,31(1):36~40(EI:20111513910620) 20.李兵,张培林,米双山,刘东升,任国全.齿轮故障信号多重分形维数的形态学计算方法,振动、测试与诊断,2011,31(4):450~453(EI:20113914375009) 21.李兵,张培林,刘东升,米双山,任国全.基于自适应多尺度形态梯度变换的滚动轴承故障特征提取,振动与冲击,2011,30(10):104~108(EI:20114614524607) 22.李兵,张培林,米双山,刘东升,任国全.形态学广义分形维数在发动机故障诊断中的应用,振动与冲击,2011,30(10):208~211(EI:20114614524626) 23.李兵,张培林,米双山,刘东升,刘鹏远.二维非负矩阵分解在齿轮故障诊断中的应用,振动、测试与诊断,2012,32(5):836~840(EI:20124915770485) 24.李兵,董俊,刘鹏远,米双山.模糊格构造型形态神经网络,电子学报,2014(02):319-327(EI:20141517566535). 25.李兵,高敏,张旭光,贾春宁.用形态梯度法与非负矩阵分解的齿轮故障诊断,振动.测试与诊断,2014(02):295-300+398(EI:20142317795909). 26.李兵,徐榕,贾春宁,郭清晨.基于自适应形态提升小波与改进非负矩阵分解的发动机故障诊断方法,兵工学报,2013(03):353-360(EI:20131916321699).

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