赖志慧      特聘研究员

性别:

邮箱: laizh@szu.edu.cn

办公室: 深圳大学沧海校区致信楼S703室

人才称号: 深圳市海外高层次人才;南山区领航人才

最终学位: 博士研究生

办公电话:

导师资格: 博导

研究领域:

机械动力学——振动利用与控制

1. 振动能量获取:介电、压电、电磁及复合式振动俘能装置的设计与研究,人体运动能量俘获与自传感,旋转能量获取,风致振动能量获取等
2. 设备故障诊断:设备早期故障诊断(微弱信号处理)、智能诊断、智能运维、自诊断
3. 非线性隔振/减振:基于非线性的隔振、减振结构设计及机理分析

在机械动力学领域主持省部级以上科研项目9项;累计发表学术论文70余篇,其中以第一/通讯作者累计发表SCI/EI收录论文40余篇,包括Joule论文一篇(Cell姊妹刊,IF=39.8),ESI高被引论文2篇,TOP期刊论文21篇,F5000论文奖获奖论文1篇,《物理学报》高被引论文1篇。谷歌学术引用1800余次,H指数23。

谷歌学术:https://scholar.google.com.hk/citations?user=3Xvb2HUAAAAJ&hl=zh-CN

课题组团队实力强大,实验设备完善,研究经费充足,与国内985高校及海外(香港、英国、美国、澳大利亚等)多位教授保持长期学术合作,毕业后可推荐至国内外知名高校继续深造。
长期招募机械动力学领域特聘副研究员、博士后,欢迎详询。长期招收对结构设计、振动分析、信号处理、数值仿真、电学分析感兴趣的硕士研究生。

主讲本科课程:

《理论力学》
《计算方法》(混合式课程,深圳大学优秀本科课程)
《精度设计》
《机械制造专业英语》

主讲研究生课程:

《知识产权》
《数字信号和图像处理》

教育背景:

2012/08-2015/01,天津大学,机械工程专业,工学博士学位
2010/08-2012/07,天津大学,机械工程专业,工学硕士学位
2006/09-2010/07,天津大学,机械设计制造及其自动化专业,工学学士学位

工作履历:

2023/09-至今,深圳大学,机电与控制工程学院,研究员
2022/07-2023/08,深圳大学,机电与控制工程学院,副教授
2019/10-2022/06,深圳大学,机电与控制工程学院,副研究员
2018/07-2019/09,深圳大学,机电与控制工程学院,助理教授
2016/09-2017/09,英国赫瑞瓦特大学,机械工程系,国家公派访问学者
2015/01-2018/06,南昌大学,机电工程学院,讲师

主持项目:

科研项目
1.国家自然科学基金面上项目,52375112,基于双稳介电换能的人体运动能量俘获与自传感机理研究,2024/01-2027/12,在研
2.国家自然科学基金青年科学基金项目,51905349,接触/碰撞式小型介电弹性体俘能装置的能量俘获机理与性能研究,2020/01-2022/12,已结题
3.国家自然科学基金联合基金集成项目(课题四-专题3),U2013603,保真取芯长时间原位环境保持及存储技术,2021/01-2024/12,在研
4.广东省自然科学基金-青年提升项目,2024A1515030020,面向人体运动俘能的双稳介电能量转换机理研究,2024/01-2026/12,在研
5.广东省自然科学基金-面上项目,2022A1515010126,面向旋转能量获取的介电-电磁复合式俘能装置的机理与性能研究,2022/01-2024/12,在研
6.广东省自然科学基金-面上项目,2020A1515011509,面向设备早期故障智能诊断的三稳随机共振机理及增强方法研究,2019/10-2022/09,已结题
7.广东省普通高校特色创新项目,2023KTSCX118,基于压电多稳态俘能装置的设备早期故障自传感实时诊断方法研究,2023/10-2025/10,在研
8.江西省青年科学基金资助项目,20161BAB216111,基于Duffing振子随机共振的设备特征识别及智能诊断基础研究,2017/01-2019/12,已结题
9.江西省教育厅科学技术研究项目,GJJ150068,基于欠阻尼随机共振的设备状态辨别及诊断研究,2016/01-2018/12,已结题
10.深圳市孔雀计划科研经费,设备早期故障自传感实时诊断方法研究,2023/01-2025/12,在研
11.江西省轻质高强结构材料重点实验室开放基金项目,20171BCD40003,介电弹性体材料性能及振动能量采集原理研究,2018/01-2019/12,已结题
12.北京市先进制造技术重点实验室开放项目,001000546612018,基于杜芬振子的微弱信号检测方法研究,2012/01-2013/12,已结题
13.深圳大学青年教师科研启动项目(自然科学类),QNJS-201901163,面向振动能量俘获的DEG系统俘能机理与性能优化研究,2019/09-2022/08,已结题
14.深圳大学新引进教师科研启动项目(自然科学类),2019036,面外拉伸式介电弹性体薄膜的振动能量俘获机理研究,2019/06-2021/05,已结题

教改项目
1.江西省高等学校教学改革研究课题,JXJG-16-1-62,机械类课程理论教学、实践教学与科研引导相结合的中外高校对比研究,2017/01-2018/12,已结题
2.教育部产学合作协同育人项目,基于OBE理念的机械工程专业课程教学体系改革研究,2024/07-2025/06
3.深圳大学本科专业认证培育项目,机械设计制造及其自动化,2024/01-2025/12,在研
4.深圳大学混合式课程,《计算方法》,在研
5.深圳大学本科教学改革研究项目,机械类专业知识密集型课程的混合式教学改革与实践——以《计算方法》课程为例,2024/09-2025/08,在研
6.深圳大学本科教学改革研究项目,803-000030110159,《计算方法》课程理论教学与科研引导相结合的教学方法与实践研究,2022/01-2022/12,已结题
7.深圳大学“聚徒+”创新项目,803-000029120174,基于介电弹性体的振动俘能装置研究,2020/09-2021/06,已结题
8.南昌大学教学改革研究课题,2016047,机械类课程理论教学、实践教学与科研引导相结合的中外高校对比研究,2017/01-2018/12,已结题

代表期刊论文 :

近年来,累计发表学术论文70余篇,其中以第一/通讯作者累计发表SCI/EI收录论文40余篇,包括ESI高被引论文2篇,TOP期刊论文22篇,F5000论文奖获奖论文1篇,《物理学报》高被引论文1篇。一作/通讯论文如下:

2024年
[43] S Fang, X Wang, X Zhang, K Wu, T Yan, X Chuai, X Huang, X Li, Z Lai*, S Dong, W Liao*. High output, lightweight and small-scale rotational piezoelectric energy harvester utilizing internal impact effect. Energy Conversion and Management, 2024, 322: 119180. (大一区Top,IF=9.9)
[42] S Fang, H Peng, C Zhang, Z Lai*, S Zhou*, R Zhu, W Liao. Synchronous and asynchronous vibration suppression and energy harvesting techniques: principles, methods and applications. Engineering Structure, 2024, 321: 118994. (大一区Top,IF=5.6)
[41] R Shi, Z Yan, S Fang, Z Qiao, S Xiao, J Lei, Z Wang, B Xu, Z Lai*. Research on a self-powered rolling bearing fault diagnosis method with a piezoelectric generator for self-sensing. Applied Energy, 2024, 376: 124206. (大一区Top,IF=10.1)
[40] Z Lai, A Feng, S Fang*, Z Wang, M Wu, B Lin, R Shi, D Yurchenko. Advantages of a novel truncated cone DE-air generator in energy conversion. Smart Materials and Structures, 2024, 33: 095023. (大三区,IF=3.7)
[39] Z Lai, M Wu, J Zhang, Z Wang, A Feng, B Lin, R Shi, B Xu, D Yurchenko, S Fang*. A pendulum-type annular dielectric elastomer generator for multi-directional ultra-low-frequency vibration energy harvesting. Mechanical Systems and Signal Processing, 2024, 220: 111704. (大一区Top,IF=7.9)
[38] J Xu, D Xia, Z Lai*, G Chen, W Dai, J Wang, H Yang. Experimental study of vibration modes switching based triple frequency-up converting energy harvesting with pre-biased displacement. Smart Materials and Structures, 2024, 33: 025016. (大三区,IF=3.7)
[37] Y He, Z Qiao*, B Xie, S Ning, Z Li, A Kumar, Z Lai*. Two-stage benefits of internal and external noise to enhance early fault detection of machinery by exciting fractional SR. Chaos, Solitons and Fractals, 2024, 182: 114749. (大一区,IF=5.3)
[36] S Sun, X Su, X Chen, J Xu, Y Leng, H Bao, Y Yang*, Z Lai*. Design and performance of a novel magnetically induced penta-stable piezoelectric energy harvester. Smart Materials and Structures, 2024, 33: 025016. (大三区,IF=3.7)
[35] C Zhang, Z Lai*, Y Zhao, R Zhu*. Parametric study and multi-parameter optimization of generalized second-order tri-stable stochastic resonance system. Nonlinear Dynamics, 2024, 112, 2661-2681. (大二区Top,IF=5.2)
[34] Z Wang, S Fang, A Feng, M Wu, B Lin, R Shi, Z Qiao, D Yurchenko, Z Lai*. Dynamic analysis of a dielectric elastomer – based bistable system. Journal of Sound and Vibration, 2024, 572: 118183. (大二区,IF=4.3)
[33] C Zhang, Z Lai*, Z Tu, H Liu, Y Chen, R Zhu*. Stochastic resonance induced weak signal enhancement in a second-order tri-stable system with single-parameter adjusting. Applied Acoustics, 2024, 216: 109753. (大二区,IF=3.4)

2023年
[32] C Yang, Z Qiao*, R Zhu, X Xu, Z Lai*, S Zhu. An intelligent fault diagnosis method enhanced by noise injection for machinery. IEEE Transactions on Instrumentation & Measurement, 2023, 72: 2524011. (大二区Top,IF=5.6)
[31] S Fang, N Padar, M J Mirzaei, K Chen, Z Lai*. Fast fixed-time sliding mode control of a bistable dual-stage vibration isolator with disturbances. Nonlinear Dynamics, 2023, 111:19947-19962. (大二区Top,IF=5.2)
[30] S Fang, K Chen, Z Lai*, S Zhou, D Yurchenko, W Liao. A bio-inspired system for simultaneous vibration isolation and energy harvesting in post-capture spacecraft. Mechanical Systems and Signal Processing, 2023, 199: 110466. (大一区Top,IF=7.9)
[29] Z Lai, Z Huang, M Xu, C Wang, J Xu, C Zhang, R Zhu*, Z Qiao*. High-performance adaptive weak fault diagnosis based on the global parameter optimization model of a cascaded stochastic resonance system. Sensors, 2023, 23: 4429. (大三区,IF=3.4)
[28] S Fang, K Chen, B Zhao, Z Lai*, S Zhou, W Liao*. Simultaneous broadband vibration isolation and energy harvesting at low frequencies with quasi-zero stiffness and nonlinear monostability. Journal of Sound and Vibration. 2023, 553: 117684. (大二区,IF=4.3)
[27] S Fang, S Wang, G Zhang, C Wang, J Xu, Z Wang, A Feng, Z Qiao, D Yurchenko, Z Lai*. On high-performance rotational energy harvesting with a novel cam-like dielectric elastomer generator. Science China – Technological Sciences, 2023, 66: 1317–1334. (大二区,国内高水平期刊,IF=4.4)
[26] Z Lai, J Xu, S Fang*, Z Qiao, S Wang, C Wang, Z Huang, S Zhou*. Energy harvesting from a hybrid piezo-dielectric vibration energy harvester with a self-priming circuit. Energy, 2023, 273: 127205. (大一区Top,IF=9)
[25] C Zhang, J Xu, S Fang, Z Qiao, D Yurchenko, Z Lai*. A pendulum-based absorber-harvester with an embedded hybrid vibro-impact electromagnetic-dielectric generator. Nano Energy, 2023, 107: 108126. (大一区Top,IF=16.8)

2022年
[24] C Wang, Z Qiao, Z Huang, J Xu, S Fang, C Zhang, J Liu, R Zhu, Z Lai*. Research on a bearing fault enhancement diagnosis method with convolutional neural network based on adaptive stochastic resonance. Sensors, 2022, 22: 8730. (大三区,IF=3.9)
[23] Z Lai, J Xu, C R Bowen, S Zhou*. Self-powered and self-sensing devices based on human motion. Joule, 2022, 6, 1501-1565. (Cell姊妹刊,大一区Top,IF=39.8)
[22] K Yang, W Tong, Z Huang, T Qiu, Z Lai*. Signal-to-noise ratio improvement of the signal immersed in the strong background noise using a bistable circuit with tunable potential-well depth. Mechanical Systems and Signal Processing, 2022, 177: 109201. (大一区Top,IF=8.4)

2021年
[21] Z Lai, S Wang, L Zhu, G Zhang, J Wang*, K Yang*, D Yurchenko. A hybrid piezo-dielectric wind energy harvester for high-performance vortex-induced vibration energy harvesting. Mechanical Systems and Signal Processing, 2021, 150: 107212. (大一区Top,IF=8.934)

2020年
[20] C Zhang, Z Lai*, G Zhang, D Yurchenko. Energy harvesting from a dynamic vibro-impact dielectric elastomer generator subjected to rotational excitations. Nonlinear Dynamics. 2020, 102: 1271-1284. (大二区Top,IF=5.022)
[19] C Zhang, Z Lai*, M Li, D Yurchenko. Wind energy harvesting from a conventional turbine structure with an embedded vibro-impact dielectric elastomer generator. Journal of Sound and Vibration. 2020, 487: 115616. (大二区Top,IF=3.655 )
[18] X Rao, C Zhang, L Zhu, G Zhang, J Zhang, Z Lai*. Investigation on the impact-based energy conversion of a dielectric elastomer membrane. IEEE Access, 2020, 8: 180261-180272. (大二区Top,IF=3.745)
[17] J Zhang, Z Lai*, X Rao*, C Zhang. Harvest rotational energy from a novel dielectric elastomer generator with crank-connecting rod mechanisms. Smart Materials and Structures, 2020, 29(6): 065005. (大二区,IF=3.613)
[16] Z Lai, S Wang, G Zhang*, C Zhang, J Zhang. Rolling Bearing Fault Diagnosis Based on Adaptive Multiparameter-Adjusting Bistable Stochastic Resonance. Shock and Vibration, 2020: 6096024. (大四区,IF=1.298)
[15] C Zhang, Z Lai*, X Rao*, J Zhang, D Yurchenko. Energy harvesting from a novel contact-type dielectric elastomer generator. Energy Conversion and Management, 2020, 205: 112351. (大一区Top,IF=9.709)

2019年
[14] Z Lai, J Wang*, C Zhang, G Zhang, D Yurchenko. Harvest wind energy from a vibro-impact DEG embedded into a bluff body. Energy Conversion and Management, 2019, 199: 111993. (大一区Top,IF=8.208)
[13] Z Lai*, J Liu, H Zhang, C Zhang, J Zhang, D Duan*. Multi-parameter-adjusting stochastic resonance in a standard tri-stable system and its application in incipient fault diagnosis. Nonlinear Dynamics, 2019, 96: 2069-2085. (大二区Top,IF=4.867)
[12] G Thomson, Z Lai*, D Val, D Yurchenko. Advantages of nonlinear energy harvesting with dielectric elastomers. Journal of Sound and Vibration, 2019, 442(3): 167-182. (大二区Top,IF=3.429)

2018年
[11] Z Lai, G Thomson*, D Yurchenko, D Val, E Rodgers. On energy harvesting from a vibro-impact oscillator with dielectric membranes. Mechanical Systems and Signal Processing, 2018, 107: 105-121. (大二区Top,IF=5.005)

2017年
[10] D Yurchenko, Z Lai*, G Thomson, D Val, R Bobryk. Parametric study of a novel vibro-impact energy harvesting system with dielectric elastomer. Applied Energy, 2017, 208: 456-470. (大一区Top,IF=7.900)
[9] D Yurchenko, D Val, Z Lai*, G Gu, G Thomson. Energy harvesting from a DE-based dynamic vibro-impact system. Smart Materials and Structures, 2017, 26(10): 105001. (大2区,IF=2.963)

2016年
[8] 赖志慧,饶锡新,刘建胜*,冷永刚,基于Duffing振子的信号频谱重构随机共振研究,振动与冲击,2016,35(21):9-16. (EI收录)
[7] Z Lai, Y Leng*. Weak-signal detection based on the stochastic resonance of bistable Duffing oscillator and its application in incipient fault diagnosis. Mechanical Systems and Signal Processing, 2016, 81: 60-74. (大二区, IF=4.116)

2015年
[6] 赖志慧*,冷永刚,三稳系统的动态响应及随机共振,物理学报,2015,64(20):200503. (大四区,中国科技期刊卓越行动计划期刊,IF=0.667)
[5] Z Lai*, Y Leng, Generalized parameter-adjusted stochastic resonance of Duffing oscillator and its application to weak-signal detection, Sensors, 2015, 15(9): 21327-21349. (大3区,IF=2.033)

2014年
[4] 冷永刚,赖志慧*,基于Kramers逃逸速率的Duffng振子广义调参随机共振研究,物理学报,2014,63(02):020502. (大四区,中国科技期刊卓越行动计划期刊,IF=0.813)

2013年
[3] 赖志慧,冷永刚*,范胜波,级联双稳Duffing系统的随机共振研究,物理学报,2013,62(07):070503. (大四区,中国科技期刊卓越行动计划期刊,IF=0.845)

2012年
[2] 冷永刚,赖志慧*,范胜波,高毓璣,二维Duffing振子的大参数随机共振及微弱信号检测研究,物理学报,2012,61(23):230502. (大四区,中国科技期刊卓越行动计划期刊,IF=1.016)
[1] 赖志慧,冷永刚*,孙建桥,范胜波,基于Duffing振子的变尺度微弱特征信号检测方法研究,物理学报,2012,61(05):050503. (大四区,中国科技期刊卓越行动计划期刊,IF=1.016)

代表会议论文:

[1] H Lu, Z Lai*, T Wu, A method for weak multi-frequency signal feature extraction based on chaotic duffing oscillator, Applied Mechanics and Materials, 2014, 568~570: 155-161. (EI收录)
[2] Y Leng*, Z Lai, J Xia, Y Guo. Mechanism of Bistable Resonance with large Frequency. Proceedings of the ASME 2011 International Design Engineering Conferences & Computer and Information in Engineering Conference. 2011, 47119, 595-599. (EI收录)
[3] Y Leng*, T Chen, Y Pan, Z Lai. Blind Source Separation Based on a Single-Channel Repeated Independent Component Analysis. Proceedings of the ASME 2011 International Design Engineering Conferences & Computer and Information in Engineering Conference. 2011, 47120, 3-7. (EI收录)

代表专利:

1. 赖志慧,王周周,方仕童,冯爱杰,吴梦瑶. 一种介电双稳装置及无源自传感故障诊断系统. ZL202210764388.7,发明专利
2. 赖志慧,林邦杰,张国庆,方仕童. 一种用于储存月球土壤的存储装置及月球探测系统. ZL202210780530.7,发明专利
3. 赖志慧,冯爱杰,方仕童,吴梦瑶,王周周. 一种复合介质型静电式能量采集装置. ZL202210755666.2,发明专利
4. 赖志慧,石润烨,方仕童,徐俊琛. 一种混合压电-介电振动俘能装置以及无线电子设备. ZL202311056248.5,发明专利
5. 张才亮,赖志慧,李美蒨,章建伟,饶锡新,刘勇,石志新. 一种碰撞型介电弹性体发电机结构. ZL201810931912.9,发明专利
6. 章建伟,赖志慧,刘勇,饶锡新.一种接触式介电弹性体发电机结构. ZL201810916508.4,发明专利

获得荣誉:

深圳市海外高层次人才、南山区领航人才
全球前2%顶尖科学家“2023年度科学影响力排行榜”
曾获聘南昌大学赣江青年学者
2019年中国产学研合作创新成果奖二等奖(排名第五)
深圳大学第十届青年教师讲课竞赛校级三等奖,院级一等奖
深圳大学2019-2020学年优秀本科课程奖

主要学术兼职:

中国机械工程学会设计分会青年委员
广东省机械工程学会设备与维修工程分会理事
IWVEHC-2024大会主席
客座编辑:Smart Materials and Structures,Machines,Sensors
Mechanical Systems and Signal Processing, Applied Energy, Energy,Nonlinear Dynamics, Smart Material and Structures, International Journal of Mechanical Sciences, Journal of Sound and Vibration, Chaos, Journal of Vibration & Technology,IEEE ACCESS, Shock and Vibration, European Journal of Applied Mathematics等期刊审稿专家

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