澳门黄金城在线平台[官方网站] - welcome

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姓名: 毕凤荣
性别:
英文名: Bi Fengrong
人才称号:
职称: 教授、博导
职务: null 专业: 动力机械及工程/车辆工程
所在机构: 天津大学澳门黄金城在线平台内燃机燃烧学国家重点实验室 个人主页:
邮箱: fr_bi@tju.edu.cn 办公地点: 天津大学北洋园校区34楼418室
传真: 办公电话:
主要学历: 1982.9~1986.7河北工业大学澳门黄金城在线平台汽车与拖拉机专业,本科,学士学位
1991.9~1994.3河北工业大学澳门黄金城在线平台工程机械专业,研究生,硕士学位
1998.9~2003.4天津大学澳门黄金城在线平台动力机械及工程专业,研究生,博士学位

主要学术经历: 1986.7~1995.12河北工业大学澳门黄金城在线平台助教/讲师
1995.12~1998.11天津大学澳门黄金城在线平台讲师
1998.11~2018.6天津大学澳门黄金城在线平台副教授,硕士生导师/博士生导师
2018.6~今天津大学澳门黄金城在线平台教授,博士生导师


主要研究方向: 车辆与动力机械振动与噪声控制
车辆与动力机械健康状态评估与故障诊断
车辆动力学


主要讲授课程: 汽车文化,本科生48学时
赛车工程概论,本科生32学时
赛车动力学基础,本科生32学时
汽车动力学,研究生24学时
现代声学理论基础,研究生24学时


主要学术兼职: 中国汽车工程学会会员
中国内燃机工程学会会员


主要学术成就: 中国机械工业联合会科技进步二等奖,2020
国家科技进步奖,二等奖,2005
中国机械工业联合会科技进步一等奖,2014
教育部科技进步二等奖,2007
国家级教学成果二等奖,2014
天津市级教学成果一等奖,2013

主要科研项目: 1. 国家科技支撑计划,工程机械减振及整机降噪关键技术研究,2015120024002769,2015/4-2017/12,子课题负责人,
2. 国家自然科学基金重点项目,民用航空发动机状态监测与故障诊断基础理论及关键技术研究,U1233201,2013/1-2016/12,第二完成人
3. 天津市自然科学基金重点项目,基于低噪声目标的内燃机噪声源特性识别及结构优化,10JCZDJC23200,2010/4-2013/3,项目负责人
4. 预研项目,应用研究,2013.1-2017/10,项目负责人
5. 内燃机可靠性国家重点实验室开放基金,基于弱功率振动信号解析的柴油机早期故障诊断理论与方法研究,2017/9-2019/12,项目负责人
6. 企业横向合作项目,某客车声学包技术开发,2019/7-2020/7,项目负责人
7. 企业横向合作项目,硅油减振器性能测试试验系统,2012/8-2014/12,项目负责人
8. 企业横向合作项目,某型摩托车NVH性能提升技术开发,2015/1-2016/12,项目负责人
9. 企业横向合作项目,某型客车低振动改进设计项目,2007/5-2007/12,项目负责人

代表性论著: 论文
1. Teng Ma, Fengrong Bi, Xu Wang, et al. Optimized Fuzzy Skyhook Control for Semi-Active Vehicle Suspension with New Inverse Model of Magnetorheological Fluid Damper[J]. Energies, 2021.
2. Zhao Y, Alashmori M, Bi F R, et al. Parameter identification and robust vibration control of a truck driver's seat system using multi-objective optimization and genetic algorithm[J]. Applied Acoustics, 2021, 173(6):107697.
3. Zhang W, Song C, Gang L, Bi F, et al. Petroleum and Fischer–Tropsch diesel soot: A comparison of morphology, nanostructure and oxidation reactivity[J]. Fuel, 2021, 283:118919.
4. Guo L, Wang X, Fan R L, Bi F R. Review on Development of High-Static-low-Dynamic-Stiffness Seat Cushion Mattress for Vibration Control of Seating Suspension System[J]. Applied Sciences, 2020.
5. Zhang W, Song C, Lv G, Bi F et al. Properties and oxidation of in-cylinder soot associated with exhaust gas recirculation (EGR) in diesel engines[J]. Proceedings of the Combustion Institute, 2020.
6. Bi X, Lin J, Tang D, Bi F, et al. VMD-KFCM Algorithm for the Fault Diagnosis of Diesel Engine Vibration Signals[J]. Energies, 2020, 13(1):228.
7. Bi X, Lin J, Bi F, et al. Engine Working State Recognition based on Optimized Variational Mode Decomposition and Expectation Maximization Algorithm[J]. IEEE Access, 2020, PP (99):1-1.
8. Bi F R, Ma T, Wang X. Development of a novel knock characteristic detection method for gasoline engines based on wavelet-denoising and EMD decomposition[J]. Mechanical Systems and Signal Processing, 2019, 117:517-536.
9. Bi X, Lin J, Bi F R, et al. Outliers Identification from Instantaneous Angular Speed Signal Generated by Zebra Tapes[J]. IEEE Access, 2019, PP (99):1-1.
10. Bi F, Ma T, X Wang, et al. Research on Vibration Control of Seating System Platform Based on the Cubic Stewart Parallel Mechanism[J]. IEEE Access, 2019, PP (99):1-1.
11. F Bi, X Li, J Lin, et al. Knock Detection Based on Recursive Variational Mode Decomposition and Multilevel Semi-Supervised Local Fisher Discriminant Analysis[J]. IEEE Access, 2019, PP (99):1-1.
12. Fengrong, Bi, Xin Li, Chunchao Liu, et al. Knock detection based on the optimized variational mode decomposition[J]. Measurement, 2019.
13. Fengrong Bi, Teng Ma, Chunchao Liu, et al. Knock detection in spark ignition engines based on complementary ensemble improved intrinsic time-scale decomposition (CEIITD) and Bi-spectrum[J]. Journal of Vibroengineering, 2018, 20(2):936-953.
14. Xu W, Bi F, Du H. Reduction of low frequency vibration of truck driver and seating system through system parameter identification, sensitivity analysis and active control[J]. Mechanical Systems & Signal Processing, 2018, 105(MAY15):16-35.
15. Jian, Zhang, Chang-Wen, Fengrong Bi, et al. Fault Feature Extraction of Diesel Engine Based on Bispectrum Image Fractal Dimension[J]. Chinese Journal of Mechanical Engineering, 2018, v.31(02):216-226.
16. Jian, Zhang, Chang-Wen, Fengrong Bi et al. Fault Feature Extraction of Diesel Engine Based on Bispectrum Image Fractal Dimension[J]. Chinese Journal of Mechanical Engineering, 2018, v.31(02):216-226.
17. Jing Y, Liu C, Bi F R. Blind Source Separation and Identification of Generator Radiation Noise Based on Signal Analysis[J]. Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering, 2017, 38(2):141-145.
18. Jing Y B, Liu C W, Bi F R, et al. Diesel Engine Valve Clearance Fault Diagnosis Based on Features Extraction Techniques and FastICA-SVM[J]. Chinese Journal of Mechanical Engineering, 2017.
19. Zhang J H, Wang J Sun S J, Bi F R, et al. Low Noise Optimization Design of Oil Pan Based on Liquid-Solid Coupling Method and Modal Participation Factors[J]. Chinese Internal Combustion Engine Engineering, 2016.
20. Bi F, Ma T, Zhang J, et al. Knock Detection in Spark Ignition Engines Base on Complementary Ensemble Empirical Mode Decomposition-Hilbert Transform[J]. Shock and Vibration, 2016, 2016(pt.4):1-17.
21. 毕凤荣, 刘以萍. Fault diagnosis of valve clearance in diesel engine based on BP neural network and support vector machine[J]. Transactions of Tianjin University, 2016, 22(006):536-543.
21. 李德胜, 张俊红, 李德华, 毕凤荣. Transverse Vibration Analysis of Concentrated Mass-Loaded Thin Circular Plate Based on Strcutural Circumferential Periodicity[J]. Transactions of Tianjin University, 2015, 02(v.36;No.153):57-62.
22. Yu Liu , Junhong Zhang , Fengrong Bi , et al. A fault diagnosis approach for diesel engine valve train based on improved ITD and SDAG-RVM[J]. Measurement Science & Technology, 2015, 26(2):025003.
23. Liu Yu,Zhang Junhong,Lin Jiewei,Bi Fengrong. Application of improved LMD, SVD technique and RVM to fault diagnosis of diesel valve trains[J]. Transactions of Tianjin University, 2015, 000(004):304-311.
24. Shao K, Liu C, Bi F, et al. Analysis of hydrodynamic loads on performance characteristics of engine main bearings[J]. ARCHIVE Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology 1994-1996 (vols 208-210), 2014, 229(6):667-676.
25. Bi F, Li L, Zhang J, et al. Source identification of gasoline engine noise based on continuous wavelet transform and EEMD–RobustICA[J]. Applied Acoustics, 2015, 100(DEC.15):34-42.
26. Zhang J, Jian W, Lin J, Bi F, et al. Diesel engine noise source identification based on EEMD, coherent power spectrum analysis and improved AHP[J]. Measurement Science and Technology, 2015, 26(9):095010.
27. Xia W, Liu C, Bi F, et al. Fault diagnosis of diesel engine based on adaptive wavelet packets and EEMD-fractal dimension[J]. Mechanical Systems & Signal Processing, 2013, 41(1-2):581-597.
28. Lin, Jiewei, Zhang Junhong, Yang Shuo, Bi Fengrong, et al. Reliability analysis of aero-engine blades considering nonlinear strength degeneration[J]. Chinese Journal of Aeronautics, 2013.
29. Xianfeng DU, Zhijun LI, Fengrong BI, et al. Source Separation of Diesel Engine Vibration Based on the Empirical Mode Decomposition and Independent Component Analysis[J]. Chinese Journal of Mechanical Engineering, 2012, 25(3):557-563.
30. Zhang J, Liu H, Fengrong BI, et al. Psychoacoustic Study on Contribution of Fan Noise to Engine Noise[J]. Chinese Journal of Mechanical Engineering, 2012(04):809-815.
31. J Lin,J Zhang,G Zhang,G Ni,F Bi,. Aero-engine Blade Fatigue Analysis Based on Nonlinear Continuum Damage Model Using Neural Networks[J]. Chinese Journal of Mechanical Engineering, 2012, 25(2):338-345.
32. Yang X, Bi F, Zhang L, et al. Noise Source Identification of a Gasoline Engine Based on Parameters Optimized Variational Mode Decomposition and Robust Independent Component Analysis[C]// WCX SAE World Congress Experience. 2020.
33. Li X, Bi F, Ma X, et al. Multiple Engine Faults Detection Based on Variational Mode Decomposition and Echo State Network[C]// WCX SAE World Congress Experience. 2020.
34. Ma T, Bi F, Wang X, et al. Development of a New Seating Platform Based on the 3-RCC Parallel Mechanism[C]// 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT). 2020.
35. Zhang J, Liu C, Bi F, et al. Knock Threshold Detection in Turbocharged Gasoline Engine Using EEMD and Bispectrum[C]// Sae World Congress & Exhibition. 2016.
36. F Bi, Teng M, Jian Z. Knock Feature Extraction in Spark Ignition Engines Using EEMD-Hilbert Transform[C]// SAE 2016 World Congress and Exhibition. 2016.
37. Shao K, Liu C W, Bi F R, et al. Non-Linear Unstability Model and Analysis of the Engine Main Journal Bearing[J]. Applied Mechanics & Materials, 2013, 246-247:790-794.
38. Bi F R, Song Z. Fault Diagnosis of Valve Train of Internal Combustion Engine Based on the Artificial Neural Network and Support Vector Machine[J]. Advanced Materials Research, 2013, 605-607:729-733.
39. Shao K, Liu C W, Bi F R, et al. Non-linear Unstability Model and Analysis of the Engine Main Journal Bearing[C]// The 2nd International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation(CDMMS 2012). 0.
40. Wang X, Bi F, Liu C, et al. Blind source separation and identification of internal combustion engine noise based on independent component and wavelet analysis. IEEE:113-116.
41. Du X F, Li Z J, Bi F R, et al. Characteristic Study on the Dynamic Response of Block Based on the EMD Technique of Feature Extraction[J]. Applied Mechanics & Materials, 2011, 88-89:93-98.
42. Du X F, Li Z J, Bi F R, et al. Structural Topography Optimization of Engine Block to Minimize Vibration Based on Sensitivity Analysis[J]. Advanced Materials Research, 2011, 291-294(291-294):318-326.
43. 程建刚,毕凤荣,张立鹏,李鑫,杨晓,汤代杰.基于多重注意力-卷积神经网络-双向门控循环单元的机械故障诊断方法研究[J].内燃机工程,2021,42(04):77-83+92.
44. 张立鹏,毕凤荣,程建刚,沈鹏飞. 基于注意力BiGRU的机械故障诊断方法研究[J].振动与冲击,2021,40(05):113-118.
45.吕振鹏,毕凤荣,XU Wang,马腾,邢志伟.车辆半主动座椅悬架自适应模糊滑模控制[J].振动与冲击,2021,40(02):265-271.
46.刘乐海,毕凤荣,于洋洋,张俊红,孟祥德,张学玲.填充密度对球形非金属隔片抑制丙烷爆炸性能的影响[J/OL].含能材料:1-9[2021-08-07].
47.王杰,毕凤荣,Xu Wang,马腾,孙浩轩.采用3-RCC型并联机构的车辆座椅悬架多维减振[J/OL].机械科学与技术:1-7[2021-08-07].
48. 毕凤荣,汤代杰,张立鹏,李鑫,马腾,杨晓. 基于VMD与KFCM的柴油机故障诊断算法[J].振动.测试与诊断,2020,40(05):853-858+1018.
49. 张海龙,宋业栋,李鑫,毕凤荣,毕晓博,汤代杰,杨晓,马腾. 基于优化VMD与欧氏距离的柴油机故障识别[J].振动.测试与诊断,2020,40(05):911-915+1022-1023.
50.毕凤荣,黄宇,张立鹏,沈鹏飞,吕大立. 基于区间灰数理论的汽车声品质主观评价方法研究[J].汽车工程,2020,42(07):933-940.
51. 邢志伟,毕凤荣,马小强,马腾,吕振鹏,黄宇. 纯电动汽车的复合制动系统多目标控制研究[J].机械科学与技术,2020,39(12):1805-1812.
52.毕凤荣,沈鹏飞. 基于大学生方程式大赛的赛车工程实践改革[J].高等工程教育研究,2019(S1):192-194.
53. 沈鹏飞,范昌易,毕凤荣. 基于FSC赛车的电控系统开发研究[J].小型内燃机与车辆技术,2019,48(05):1-7.
54.张扬真,岳一德,范昌易,陈一,毕凤荣,沈鹏飞. 基于FSC赛车的可调式尾翼开发[J].北京汽车,2019(04):10-12+31.
55.毕凤荣,曹荣康,Xu Wang,马腾. 基于MRE的变刚度变阻尼减振器设计研究[J].振动与冲击,2019,38(03):192-198.
56. 毕凤荣,李鑫,马腾. 基于变模式分解的爆震特征识别方法[J].振动.测试与诊断,2018,38(05):903-907+1076.
57. 毕凤荣,刘博,刘春朝,田从丰,李鑫,马腾. 基于热弹流模型的柴油机连杆小头轴承润滑研究[J].内燃机工程,2018,39(04):15-22.
58. 郭圣刚,毕凤荣,李鑫,马腾. CEEMD在汽油机爆震特征诊断中的应用[J].内燃机与动力装置,2018,35(03):23-30.
59. 雷盼飞,周良生,毕凤荣,石纯放,朱强. 车身多点橡胶悬置系统布置形式研究[J].汽车技术,2017(11):55-58.
60. 毕凤荣,杨晓,马腾. 小型柴油发电机组隔声罩结构优化设计研究[J].机械科学与技术,2018,37(01):1-7.
61. 雷盼飞,周良生,毕凤荣,石纯放. 车身多点悬置系统稳定性灵敏度分析[J].军事交通学院学报,2017,19(09):45-49+53.
62. 张剑,刘昌文,毕凤荣,毕晓博. 基于双谱的汽油机爆震特征提取与强度评价[J].振动.测试与诊断,2017,37(04):717-722+840-841.
63. 毕凤荣,石纯放,梁永勤. 悬架系统非线性减振器阻尼值变化系数对整车振动影响的研究[J].机械科学与技术,2017,36(09):1421-1427.
64. 田赛龙,毕凤荣,景亚兵,姚昱儒,杨晓,刘建飞. 共振式消声器声学性能三维时域计算及分析[J].机械科学与技术,2017,36(05):665-669.
65. 姚昱儒,毕凤荣,景亚兵,齐彬,田赛龙,田从丰. 应用多目标粒子群的驾驶室悬置参数联合仿真优化[J].机械科学与技术,2017,36(04):610-615.
66. 毕凤荣,刘建飞,姚昱儒,张剑,景亚兵,田从丰. 基于Kriging模型的动力总成悬置系统多目标优化[J].天津大学学报(自然科学与工程技术版),2017,50(03):328-334.
67. 梁永勤,毕凤荣,石纯放. 基于遗传算法的麦弗逊悬架参数优化研究[J].机械设计,2017,34(01):15-19.
68. 朱亚亚,毕凤荣,邵康. 连杆柔性化处理对机体表面振动及主轴承受力的影响[J].机械科学与技术,2017,36(03):335-340.
69. 景亚兵,刘昌文,毕凤荣,石纯放,刘春朝,田从丰. 基于EMD-SVM的小型发电机组物理声源灵敏度分析[J].天津大学学报(自然科学与工程技术版),2017,50(10):1077-1083.
70. 张俊红,李忠鹏,毕凤荣,王健,何文运,朱传峰,田雨. 基于板件贡献分析的装载机驾驶室低噪声设计[J].振动.测试与诊断,2016,36(03):568-574+609.
71. 张剑,刘昌文,毕凤荣,王霞,邵康. 柴油机气门故障信号的双谱图形分形维数分析[J].内燃机学报,2016,34(03):274-280.
72. 张俊红,朱传峰,毕凤荣,王健,何文运,李忠鹏. 基于DOE和MIGA的消声器优化设计[J].机械科学与技术,2016,35(02):296-302.
73. 李娜,毕凤荣. 板声辐射特性及隔声特性研究[J].机械设计,2015,32(06):70-74.
74. 毕凤荣,李琳,张剑,马腾.基于EEMD-HT与LSSVM的柴油机辐射噪声品质预测技术[J].天津大学学报(自然科学与工程技术版),2017,50(01):28-34.
75. 张俊红,李忠鹏,毕凤荣,王键,朱传峰. 基于声振耦合的装载机驾驶室多目标形貌优化设计[J].振动与冲击,2015,34(07):46-50+70.
76.刘宏骏,毕凤荣,张剑. 轮式装载机驾驶室噪声源分离和识别[J].工程设计学报,2015,22(01):66-71.
77. 赵笑春,毕凤荣. 悬挂式弹簧系统振动动力学特性研究[J].机械设计,2015,32(01):43-46.
78. 张俊红,王凯楠,毕凤荣,郭鹏,何振鹏. 基于状态空间的车辆耦合振动系统分析及优化[J].中国机械工程,2014,25(21):2975-2981.
79. 韩璞,毕凤荣,张剑. 基于振动的汽油机爆震始点识别与强度评价研究[J].内燃机工程,2016,37(05):134-139.
80. 赵笑春,毕凤荣. 悬挂式减振系统冲击动力学特性研究[J].振动与冲击,2014,33(17):173-178.
81. 邵康,刘昌文,毕凤荣,张剑,王霞. 供油提前角对内燃机曲轴主轴承动力学的影响[J].内燃机工程,2014,35(04):60-65.
82. 张俊红,王健,孙少军,毕凤荣,李忠鹏,朱传峰. 基于流固耦合和模态参与因子的低噪声油底壳优化设计研究[J].内燃机工程,2016,37(03):105-110.
83. 毕凤荣,陆地,邵康,张剑. 基于EEMD-ICA-CWT的装载机室内噪声盲源分离和识别[J].天津大学学报(自然科学与工程技术版),2015,48(09):804-810.
84. 田沛,沈颖刚,毕凤荣,张剑. 基于小波包和BP神经网络的柴油机故障分析[J].小型内燃机与摩托车,2014,43(02):44-49.
85. 于宏志,沈颖刚,毕凤荣. EMD-Robust ICA在柴油机噪声源识别中的应用[J].噪声与振动控制,2014,34(01):178-182.
86. 张俊红,王健,毕凤荣,刘海,李林洁,李忠鹏. 基于EMD和时频分析的低振动机体结构优化研究[J].振动与冲击,2014,33(03):117-121+144.
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专利
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3. 发明专利,用于转速周期性波动情况下瞬间转速测试方法, 2018103007852
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6. 发明专利, 用于控制共轨发动机瞬态工况燃烧噪声的系统装置, 2014101178711
7. 发明专利, 对空心部件内部进行刻槽加工的装置, 2012104527912
8. 发明专利, 物体质心位置测量方法, 2011103730252
9. 发明专利, 配有废气再循环(EGR)的汽油机混合分层进气系统及方法, 2011103487909
10. 发明专利, 主动控制液压式碰摩故障检测实验装置, 2011103346262

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