科研 论文 及 成果 |
一、SCI论文(TOP刊) [1]Haiyang Pan, Yu Yang, Xin Li, et al. Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis.Mechanical Systems and Signal Processing. 2019, 114:189-211. [2]Haiyang Pan, Yu Yang, Jinde Zheng, et al. A noise reduction method of Symplectic Singular Mode Decomposition based on Lagrange multiplier.Mechanical Systems and Signal Processing. 2019, 133:106283. [3]Haiyang Pan, Yu Yang, Jinde Zheng, et al.A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine.Mechanism and Machine Theory. 2019, 140:31-43. [4]Haiyang Pan, Yu Yang, Jinde Zheng, et al. Symplectic interactive support matrix machine and its application in roller bearing condition monitoring. Neurocomputing. 2020,398:1-10. [5]Haiyang Pan, Yu Yang, Ping Wang, et al.Symplectic incremental matrix machine and its application in roller bearing fault diagnosis.Applied Soft Computing.2020,95: 106566. [6]Mingen Gu, Jinde Zheng,Haiyang Pan*, et al.Ramp sparse support matrix machine and its application in roller bearing fault diagnosis.Applied Soft Computing.2021, 113:107928. [7]Haiyang Pan, Jinde Zheng.An intelligent fault diagnosis method for roller bearing using symplectic hyperdisk matrix machine.Applied Soft Computing. 2021,105:107284. [8]Haiyang Pan, Jinde Zheng, Yu Yang, et al. Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis.Mechanism and Machine Theory. 2021, 155: 104082. [9]Haiyang Pan, Haifeng Xu, Jinde Zheng,et al. Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis.Advanced Engineering Informatics. 2022, 51:101445. [10]Haiyang Pan,Haifeng Xu, Jinde Zheng.A novel symplectic relevance matrix machine method for intelligent fault diagnosis of roller bearing.Expert Systems with Applications, 2022, 192:116400. [11]Haiyang Pan, Haifeng Xu, Jinde Zheng,et al.Cyclic symplectic component decomposition with application in planetary gearbox fault diagnosis. Mechanism and Machine Theory.2022, 172: 104792. 二、专著 [1]杨宇,潘海洋,程军圣.机械故障诊断的变量预测模式识别方法,湖南大学出版社, 2017. (“十三五”国家重点图书出版物) 三、学术奖励 [1]郑近德,潘海洋.机械故障的多尺度非线性特征信息提取与诊断方法,安徽省科学技术奖(自然科学)二等奖,安徽省科技厅,2020. [2]郑近德,潘海洋,程军圣,杨宇,刘庆运.机械故障诊断的无参自适应模态分解理论与方法,中国振动工程学会科学技术奖(基础研究)二等奖,中国振动工程学会,2021.
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主持 项目 |
一、结题项目 [1]基于优化加权的代理判别模型模式识别方法及其应用研究.安徽省自然科学基金项目,2017/01-2019/12(8万) [2]经验小波变换理论及其在机械故障诊断中的应用研究.国家自然科学基金项目(青年类),2016/01-2018/12.(20万) [3]非线性稀疏模态分解方法及其在齿轮故障诊断中的应用研究.液压振动与控制教育部工程研究中心(安徽工业大学)开放基金项目, 2019/08-2021/07(3万). [4]冶金起重机健康诊断与装备研发.国家重点研发计划计划子课题,2017/07-2020/12(120万) [5]基于多尺度复杂性理论的旋转机械关键部件故障诊断与预测方法研究,安徽省高校自然科学基金研究重点项目,2020/01-2021/12(6万) [6]傅里叶自适应模态分解及其在采煤机关键部件故障诊断中的应用研究,矿山智能装备与技术安徽省重点实验室,2019/07-2021/06(2.5万) 二、在研项目 [1]广义自适应谐波分解理论及其在低速重载齿轮箱故障诊断与预测中的应用,国家自然科学基金面上项目,2020/01-2023/12.(60万) [2]广义自适应傅里叶分解及其在齿轮箱故障诊断中的应用,安徽省自然科学基金,2020/07-2022/06(10万) [3]基于弹性超圆盘矩阵机的小子样复杂系统多源信息融合与诊断研究.安徽省高校自然科学研究重点项目, 2021/01-2022/12(6万)
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