个人信息

陆思良，博士，教授，博士/硕士生导师，连续入选斯坦福大学与Elsevier联合发布的全球前2%顶尖科学家榜单，入选安徽省优青、安徽省青年拔尖人才。分别于2010和2015年获中国科学技术大学机械设计制造及其自动化学士和精密仪器与机械博士学位。主要从事机电系统创新设计与智能运维、边缘计算与嵌入式系统、信息处理与人工智能、机器人与工业工厂自动化研究。主持国家自然科学基金面上项目2项和青年项目1项，安徽省自然科学基金优青项目1项，安徽省高校优青科研项目1项，安徽省高校优秀青年人才支持项目1项，安徽省自然科学基金青年项目1项，国家重点实验室开放课题2项、安徽省重点实验室开放课题1项，校企合作开发项目多项；2020年至今连续入选斯坦福大学与Elsevier联合发布的全球前2%顶尖科学家“年度影响力榜单”并于2023年入选“终身科学影响力榜单（1960-2023）”；2023年入选安徽省青年拔尖人才计划。在本领域期刊会议上发表论文100余篇，其中SCI期刊论文80余篇，一作/通信作者SCI论文40余篇，包括机械电子、控制系统、仪器测试领域知名期刊《IEEE Transactions on Systems, Man and Cybernetics: Systems》(2篇)、《IEEE Transactions on Industrial Informatics》(3篇)、《IEEE Transactions on Industrial Electronics》（2篇）、《IEEE Transactions on Power Electronics》(2篇)、《IEEE Transactions on Instrumentation and Measurement》(10+篇)、《IEEE Transactions on Energy Conversion》(2篇)、《IEEE Internet of Things Journal》（2篇）、《IEEE Sensors Journal》（8篇）、《Mechanical Systems and Signal Processing》(5篇)、《Journal of Sound and Vibration》(9篇)、《Reliability Engineering and System Safety》（2篇）、《Engineering Applications of Artificial Intelligence》。文章在谷歌学术中被引用3200余次，H指数为32，i10指数为62。Web of Science核心数据库中SCI他引约2300次，累计入选ESI前1%全球高被引论文5篇。担任国际期刊《IEEE Transactions on Instrumentation and Measurement》Associate Editor、《Journal of Dynamics, Monitoring and Diagnostics》编委；《西南交通大学学报》青年编委；担任50余个机电信号处理、故障诊断等领域的国内外期刊审稿人；担任国家自然科学基金同行评议专家。申请/授权国家发明专利20余项。获中国电工技术学会科学技术奖一等奖、上海市科学技术二等奖、安徽省自然科学二等奖。担任IEEE Senior Member、中国机械工程学会设备智能运维分会委员、中国振动工程学会转子动力学专业委员会理事、中国振动工程学会故障诊断专业委员会理事及青年工作委员会成员、安徽省机器人学会青年工作委员会副主任委员、安徽省振动工程学会理事。

近年来，在三个主要研究方向取得系统性的创新成果：

1）基于随机共振非线性滤波的微弱信号检测理论和应用，综述 (ESI高被引论文)：https://doi.org/10.1016/j.ymssp.2018.06.032

2）基于无编码器转速估计的变转速阶次分析故障诊断，综述：https://ieeexplore.ieee.org/document/8675968/

3）基于边缘计算的实时在线信号处理与状态监测诊断，综述 (ESI高被引论文)：https://ieeexplore.ieee.org/document/10026418

B站公开课：https://www.bilibili.com/video/BV1AR4y1u74b/

联系方式

Email: silianglu@ahu.edu.cn; lusliang@mail.ustc.edu.cn

教育经历

2010.09-2015.06 中国科学技术大学 精密仪器与机械 博士

2006.09-2010.06 中国科学技术大学 机械设计制造及其自动化 学士

研究方向

  1. 机电系统的状态监测与故障诊断
  2. 工业和工厂自动化
  3. 机器人

研究项目

纵向项目：

Pr12. 面向物联网在线监测的噪声强化全模拟电路物理神经网络研究，国家自然科学基金面上项目，编号：52375522，2024.01至2027.12，主持，在研。

Pr11. 微弱特征的噪声增强深度表示及其在机械早期故障诊断中的研究，国家自然科学基金面上项目，编号：52075002，2021.01至2024.12，主持，在研。

Pr10. 动力电池制造品质无损伤高精度抗干扰检测的关键理论研究，安徽省自然科学基金优青项目，编号：2308085Y03，2023.09至2026.08，主持，在研。

Pr9. ***故障特征提取与故障诊断研究及试验验证，“航空发动机与燃气轮机”国家科技重大专项（“两机专项”）子课题，2024，主持，在研。

Pr8. 安徽省科研编制计划项目，优秀青年科研项目，2022，编号：2022AH030016，主持，在研。

Pr7. 安徽省高校优秀青年人才支持项目（重点）, 编号：gxyqZD2022006，2022，主持，在研。

Pr6. 检测技术与节能装置安徽省重点实验室开放研究基金项目，编号：DTESD2020A01，2020.10至2022.09，主持，结题。

Pr5. 基于多传感器信息融合的风机齿轮箱故障诊断，重庆大学机械传动国家重点实验室开放课题，SKLMT-KFKT-201812，2019.01至2020.12，主持，结题。

Pr4. 复杂工况下列车牵引电机实时在线监测诊断研究，西南交通大学牵引动力国家重点实验室开放课题，TPL1905，2019.01至2020.12，主持，结题。

Pr3. 机械微弱信号自适应互补随机共振滤波增强检测与故障诊断研究，国家自然科学基金青年项目，编号：51605002，2017-01-01至2019-12-31，主持，结题。

Pr2. 自适应随机共振滤波器理论及其在机械故障在线诊断中的应用研究，安徽省自然科学基金，编号，1608085QE110，2016-08-01至2018-07-31，主持，结题。

Pr1. 安徽大学引进人才科研启动经费，2015-07-01至2020-06-30，主持，结题。

横向项目：

Pr8. CAFS系统控制主机及附属模块开发，中科永安（安徽）有限公司，2023，主持，在研。

Pr7. 主动悬架系统与整车台架电控信号协同控制测试系统，奇瑞汽车，2022，主持，在研。

Pr6. 电池储能电站关键故障预警与监控预警系统研发，国网安徽省电力有限公司电力科学研究院，2022-2024，主持，在研。

Pr5. 航空环锻件库位智能规划系统，北京机电研究所有限公司，2022，主持，结题。

Pr4. 基于漏磁信号分析的电机在线监测与故障诊断研究，先见智控科技（常州）有限公司，2021.01-2021.12，主持，结题。

Pr3. 压力机故障诊断系统软件设计，北京机电研究所有限公司，2021.05-2021.06，主持，结题。

Pr2. 内嵌多参量感知系统传动装置，重庆大学-安徽大学合作开发项目，2020.10至2021.03，主持，结题。

Pr1. 多参量传感器信号测试，重庆大学-安徽大学合作开发项目，2017.09至2018.08，主持，结题。

Pr02. 样本信号设计软件包，中国人民解放军特种电子装备修造厂，2021，联合主持，结题。

Pr01. 四通道血管性能测试平台硬件电路研制，合肥欣畅源光电科技有限公司，2021，联合主持，结题。

教学教研项目

Pr16. 基于机器视觉和深度学习的灵活可定制SCARA分拣机器人设计，大学生创新训练项目，国家级，指导教师，2023。

Pr15. 汽车主动悬架系统与整车台架电控信号协同控制测试系统的研究与设计，大学生创新训练项目，国家级，指导教师，2023。

Pr14. 虚实结合融合式教学方法的探索–以《测试技术》实验课程教学为例，高等学校省级质量工程项目，2022jyxm063，负责人，2022。

Pr13. 机器人技术骨干教师培训，教育部产学合作协同育人项目，220501094114157，负责人，2022。

Pr12. 基于沉浸式案例教学的研究生科研训练方法探索，安徽省新时代育人质量工程项目（研究生教育）教研项目，2022jyjxggyj124，负责人，2022。

Pr11. 安徽大学-国仪量子实践教育基地，安徽大学实践教育基地项目，2022xjzlgc437，负责人，2022。

Pr10. 虚实结合融合式教学方法的探索-以《测试技术》实验课程教学为例，安徽大学教育教学研究项目（面上），2022xjzlgc338，负责人，2022。

Pr9. 全国大学生机器人大赛-RoboMaster、RoboCon，负责人，2021-2023年度。

Pr8. 磁场阵列信号反演成像方法及其在动力电池电流分布测量中的研究，大学生创新训练项目，国家级，指导教师，2022。

Pr7. 高压压电正弦驱动电路轻量化设计及其在微型机器人中的应用，大学生创新训练项目，国家级，指导教师，2021。

Pr6. 高速敏捷柔性线驱机器人的开发设计，大学生创新训练项目，国家级，指导教师，2020。

Pr5. 基于机器视觉的板球系统目标检测与控制研究，大学生创新训练项目，省级，指导教师，2019。

Pr4. 基于无线物联网和LabVIEW的机器状态监测系统的研究，大学生创新训练项目，国家级，指导教师，2018。

Pr3. 机械微弱信号自适应互补随机共振滤波增强检测与故障诊断研究，安徽大学2017年大学生科研训练计划项目，指导教师，2017。

Pr2. 基于矫正算法的办公人群坐姿矫正与护眼系统一体化设计，大学生创新训练项目，省级，指导教师，2016。

Pr1. 基于机器视觉技术的算法演示机器人系统设计，大学生创新训练项目，校级，指导教师，2016。

Published Book

Advanced Sensors and Sensing Technologies for Electric Vehicles, Edited by Wenping Cao and Siliang Lu, AIP Publishing LLC, Melville, New York, ISBN: 978-0-7354-2519-4 (Online), 2022.

Also contribute to 2 chapters:

C1 Hui Wang, Gang Qian, Wenping Cao, and Siliang Lu, A two-step online fault detection method for high-resistance connection faults in a vehicular BLDC motor, in Advanced Sensors and Sensing Technologies for Electric Vehicles, edited by W. Cao and S. Lu (AIP Publishing, Melville, New York, 2022), pp. 1-1–1-22.

C2 Qingyun Zhu, Xiaoxian Wang, Hui Wang, Min Xia, Wenping Cao, and Siliang Lu, Real-time defect detection of die cast rotor in EV induction motor based on circular flux sensing coils, in Advanced Sensors and Sensing Technologies for Electric Vehicles, edited by W. Cao and S. Lu (AIP Publishing, Melville, New York, 2022), pp. 2-1–2-26.

代表性论文 (#为通信作者)

2024:

J80. Juncai Song, Long Qian, Xianhong Wu, Jing Wu, Siliang Lu, Xiaoxian Wang, DPMSLM Eccentricity Fault Detection Based on Multi-view of Mystery Curve Transformation and Deep Feature Extraction, IEEE Sensors Journal, 2024, accepted.

J79. Juncai Song, Houhong Han, Xianhong Wu, Jingfeng Lu, Xiaoxian Wang, Siliang Lu#, Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement, 2024, accepted.

J78. Zhangling Duan, Zhi Peng, Juncai Song#, Siliang Lu#, An intelligent complex power quality disturbance recognition method based on two dimension encoding conversion and machine vision, Electric Power Systems Research, 2024, Vol. 232, pp: 110413.

J77. Yanping Wu, Juncai Song#, Xianhong Wu, Xiaoxian Wang, Siliang Lu#, Fault Diagnosis of Linear Guide Rails Based on SSTG Combined with CA-DenseNet, Journal of Dynamics, Monitoring and Diagnostics, 2024, Vol. 3(1), pp: 1-10.

J76. Wenping Cao, Haohua Li, Cungang Hu, Hui Wang, Rongqing Huang, Siliang Lu, Xiaoyan Huang, Diagnosis of High-Resistance Connection Faults in PMSMs Based on GMR and Deep Learning, IEEE Transactions on Industrial Electronics, 2024, Vol. 71(7), pp: 7918-7926.

J75. Juncai Song, Jing Wu, Xiaoqing Wang, Zhangling Duan, Xiaoxian Wang, Siliang Lu, Accurate classification of power quality disturbance based on 3D visualized spiral curve and hybrid ER-MVCNN model, Measurement, 2024, Vol. 231, pp: 114654.

J74. Xianhong Wu, Juncai Song#, Zhangling Duan, Xiaoxian Wang, Wei Ding, Jing Wu, Siliang Lu#, Air gap flux density measurement of PMSLM based on TMR sensing external stray magnetic field and CNN-LSTM, Measurement, 2024, Vol. 231, pp: 114617.

J73. Yunhan Ling, Dianyu Fu, Peng Jiang, Yong Sun, Chao Yuan, Dali Huang, Jingfeng Lu, and Siliang Lu, Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis, Transactions of the Institute of Measurement and Control, 2024, Vol. 46(5), 858–870.

J72. Juncai Song, Xianhong Wu, Long Qian, Wenjun Lv, Xiaoxian Wang#, Siliang Lu#, PMSLM Eccentricity Fault Diagnosis Based on Deep Feature Fusion of Stray Magnetic Field Signals, IEEE Transactions on Instrumentation and Measurement, 2024, Vol. 73, pp: 3506012.

2023:

J71. Linghan Zhang, Juncai Song#, Xiaoxian Wang#, Jingfeng Lu, Siliang Lu, High-Resistance Connection Fault Diagnosis of SRM Based on Multisensor Calibrated Transformer with Shifted Windows, IEEE Sensors Journal, 2023, Vol. 23(24), pp: 30971-30983.

J70. Wenping Cao, Rongqing Huang, Hui Wang, Siliang Lu, Yawei Hu, Cungang Hu, Xiaoyan Huang, Analysis of Inter-Turn Short-Circuit Faults in Brushless DC Motors Based on Magnetic Leakage Flux and Back Propagation Neural Network, IEEE Transactions on Energy Conversion, 2023, Vol. 38, Issue 4, pp: 2273-2281.

J69. Jingfeng Lu, Kang An, Xiaoxian Wang, Juncai Song, Feng Xie#, Siliang Lu#, Compressed Channel-based Edge Computing for Online Motor Fault Diagnosis with Privacy Protection, IEEE Transactions on Instrumentation and Measurement, 2023, Vol. 72, pp: 6505112.

J68. Changbo He, Pengpeng Han, Jingfeng Lu, Xiaoxian Wang, Juncai Song#, Zhixiong Li, Siliang Lu#, Real-Time Fault Diagnosis of Motor Bearing via Improved Cyclostationary Analysis Implemented onto Edge Computing System, IEEE Transactions on Instrumentation and Measurement, 2023, Vol. 72, pp: 3524011.

J67. Lv Chen, Kang An, Dali Huang, Xiaoxian Wang#, Min Xia#, and Siliang Lu#, Noise-Boosted Convolutional Neural Network for Edge-based Motor Fault Diagnosis with Limited Samples, IEEE Transactions on Industrial Informatics, 2023, Vol. 19, pp: 9491-9502.

J66. Xi Chen, Hui Wang, Siliang Lu, Jiawen Xu, Ruqiang Yan, Remaining useful life prediction of turbofan engine using global health degradation representation in federated learning, Reliability Engineering and System Safety, 2023, Vol. 239, pp: 109511.

J65. Xiaoxian Wang, Shiwu Zhang, Juncai Song, Yongbin Liu, Siliang Lu#, Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction, Engineering Applications of Artificial Intelligence, 2023, Vol. 125, pp: 106713.

J64. Siliang Lu, Jingfeng Lu, Kang An, Xiaoxian Wang, Qingbo He, Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review, IEEE Internet of Things Journal, 2023, Vol. 10, Issue 13, pp: 11093-11116. (ESI Highly Cited Paper)

J63. Jiancong Shi, Xinglong Wang, Siliang Lu, Jinde Zheng, Hui Dong, Jun Zhang, An adversarial multi-source data subdomain adaptation model: A promising tool for fault diagnosis of induction motor under cross-operating conditions, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3519014.

J62. Xi Chen, Hui Wang, Siliang Lu, Ruqiang Yan, Bearing Remaining Useful Life Prediction Using Federated Learning with Taylor-Expansion Network Pruning, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3512610.

J61 Kang An, Jingfeng Lu, Quanjing Zhu, Xiaoxian Wang, Clarence W. de Silva, Min Xia#, Siliang Lu#, Edge Solution for Real-time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network, IEEE Transactions on Instrumentation and Measurement, 2023, Vol. 72, pp: 3516912.

J60 Qingyun Zhu, Jingfeng Lu, Xiaoxian Wang, Hui Wang, Siliang Lu#, Clarence de Silva, Min Xia#, Real-time Quality Inspection of Motor Rotor Using Cost-effective Intelligent Edge System, IEEE Internet of Things Journal, 2023, Vol. 10, pp: 7393-7404.

J59 Juncai Song, Shuo Liu, Zhangling Duan, Xianhong Wu, Wei Ding, Xiaoxian Wang#, Siliang Lu#, DPMSLM Demagnetization Fault Detection Based on Texture Feature Analysis of Grayscale Fusion Image, IEEE Transactions on Instrumentation and Measurement, 2023, Vol. 72, pp: 3510512.

J58 Hui Wang, Jiliang Wang, Xiaoxian Wang, Siliang Lu#, Cungang Hu#, Wenping Cao#, Detection and Evaluation of the Inter-turn Short Circuit Fault in a BLDC-Based Hub Motor, IEEE Transactions on Industrial Electronics, 2023, Vol. 70(3), pp: 3055-3068.

2022:

J57 Qingyun Zhu, Xiaoxian Wang, Hui Wang, Min Xia#, Siliang Lu#, Bingyou Liu, Guoli Li, Wenping Cao, Real-time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils, IEEE Transactions on Industrial Informatics, 2022, Vol. 18, pp: 9271-9282.

J56 Xiaoxian Wang, Siliang Lu#, Kang Chen, Qunjing Wang, Shiwu Zhang#, Bearing Fault Diagnosis of Switched Reluctance Motor in Electric Vehicle Powertrain via Multi-sensor Data Fusion, IEEE Transactions on Industrial Informatics, 2022, Vol. 18, pp: 2452-2464.

J55. Xin Li, Haidong Shao, Siliang Lu, Jiawei Xiang, Baoping Cai, Highly-efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(12): 7328-7340. (ESI Highly Cited Paper)

J54. Cristian López, Ángel Naranjo, Siliang Lu, Keegan James Moore, Hidden Markov Model based Stochastic Resonance and its Application to Bearing Fault Diagnosis, Journal of Sound and Vibration, 2022, 528: 116890.

2021:

J53 Xiaoxian Wang, Siliang Lu#, Wenping Cao, Min Xia, Kang Chen, Jianming Ding, Shiwu Zhang#, Stray Flux-Based Rotation Angle Measurement for Bearing Fault Diagnosis in Variable-Speed BLDC Motors, IEEE Transactions on Energy Conversion, 2021, Vol. 36, pp: 3156-3166.

J52 Xiaoxian Wang, Siliang Lu#, Wenbin Huang, Qunjing Wang, Shiwu Zhang#, Min Xia, Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement. 2021, Vol. 70, p: 3508612.

J51 Huasong Tang, Siliang Lu#, Gang Qian, Jianming Ding, Yongbin Liu, Qunjing Wang, IoT-based Signal Enhancement and Compression Method for Efficient Motor Bearing Fault Diagnosis. IEEE Sensors Journal. 2021, Vol. 21, pp: 1820-1828.

J50 Heng Sun, Min Xia, Yawei Hu#, Siliang Lu#, Yongbin Liu, Qunjing Wang, A new sorting feature-based temporal convolutional network for remaining useful life prediction of rotating machinery, Computers and Electrical Engineering. 2021, Vol. 95, p: 107413.

J49. Min Xia, Haidong Shao, Darren Williams, Siliang Lu, Lei Shu, Clarence W. de Silva, Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning, Reliability Engineering and System Safety, 2021, 215: 107938. (ESI Highly Cited Paper)

J48. Mingfeng Shi, Zheng Cao, Yongbin Liu, Fang Liu, Siliang Lu, Guoli Li, Feature extraction method of rolling bearing based on adaptive divergence matrix linear discriminant analysis, Measurement Science and Technology, 2021, 32: 075003.

J47. Fang Liu, Haidong Huang, Yongbin Liu, Bing He, Xiaowen Dong, Siliang Lu, Bin Ju, Zheng Cao, Performance Degradation Assessment for Coaxial Bearings Using Kernel JADE and Two-Class Model, IEEE Transactions on Instrumentation and Measurement. 2021, 70: 350112.

J46. Qiang Xue, Boyu Xu, Changbo He, Fang Liu, Bin Ju, Siliang Lu, Yongbin Liu, Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement. 2021, 70: 3521311.

J45. Changbo He, Jerome Antoni, Alessandro Paolo Daga, Hongkun Li, Ning Chu, Siliang Lu, Zhixiong Li, An Improved Key-Phase-Free Blade Tip-Timing Technique for Nonstationary Test Conditions and Its Application on Large-Scale Centrifugal Compressor Blades, IEEE Transactions on Instrumentation and Measurement. 2021, 70: 3504516.

J44. Fang Liu, Ruixiang Wu, Fanrong Teng, Yongbin Liu, Siliang Lu, Bin Ju, Zheng Cao, A Two-Stage Learning Model for Track-Side Acoustic Bearing Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement. 2021, 70: 3516512.

J43. Zhixiang Chen, Changbo He, Yongbin Liu, Siliang Lu, Fang Liu, Guoli Li, Incipient Fault Feature Extraction of Rolling Bearing Based on Optimized Singular Spectrum Decomposition, IEEE Sensors Journal, 2021, 21(18): 20362-20374.

J42. Juan Xu, Yongfang Shi, Xiaohui Yuan, Siliang Lu, Cross-Category Mechanical Fault Diagnosis Based on Deep Few-Shot Learning, IEEE Sensors Journal, 2021, 21(24): 27698-27709.

2020:

J41. Xiaoxian Wang, Siliang Lu#, Shiwu Zhang#, Rotating Angle Estimation for Hybrid Stepper Motors with Application to Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 2020, Vol. 69, pp: 5556-5568.

J40. Qing Shu, Siliang Lu#, Min Xia#, Jianming Ding, Jiahao Niu, Yongbin Liu. Enhanced feature extraction method for motor fault diagnosis using low-quality vibration data from wireless sensor networks. Measurement Science and Technology. 2020, Vol. 31, pp: 045016.

J39. Hui Wang, Siliang Lu#, Gang Qian, Jianming Ding, Yongbin Liu, Qunjing Wang, A Two-Step Strategy for Online Fault Detection of High-Resistance Connection in BLDC Motor. IEEE Transactions on Power Electronics. 2020, Vol. 35, pp: 3043-3053.

J38. Siliang Lu, Gang Qian, Qingbo He, Fang Liu, Yongbin Liu, Qunjing Wang. Insitu Motor Fault Diagnosis Using Enhanced Convolutional Neural Network in an Embedded System. IEEE Sensors Journal. 2020, Vol. 20, pp: 8287-8296.

J37. Lei Xue, Qunjing Wang, Siliang Lu, Guoli Li, Runyu Tang, Attitude estimation of a permanent magnet spherical motor based on an improved fast discriminative scale space tracking algorithm, Measurement Science and Technology, 2020, 31: 055005.

2019:

J36. Jiahao Niu, Siliang Lu#, Yongbin Liu, Jiwen Zhao, Qunjing Wang. Intelligent Bearing Fault Diagnosis based on Tacholess Order Tracking for a Variable-Speed AC Electric Machine. IEEE Sensors Journal. 2019, Vol. 19, pp: 1850-1861.

J35. Gang Qian, Siliang Lu#, Donghui Pan, Huasong Tang, Yongbin Liu, Qunjing Wang. Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data. IEEE Sensors Journal. 2019, Vol. 19, pp: 4211-4220.

J34. Lei Xiao, Xinghui Zhang, Siliang Lu#, Tangbin Xia, Lifeng Xi. A novel weak-fault detection technique for rolling element bearing based on vibrational resonance. Journal of Sound and Vibration. 2019, Vol. 438, pp: 490-505.

J33. Siliang Lu, Ruqiang Yan, Yongbin Liu, Qunjing Wang. Tacholess Speed Estimation in Order Tracking: A Review with Application to Rotating Machine Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 2019, Vol. 68, pp: 2315-2332.

J32. Siliang Lu, Ping Zheng, Yongbin Liu, Zheng Cao, Hui Yang, Qunjing Wang. Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance. Journal of Sound and Vibration. 2019, Vol. 449, pp: 18-29.

J31. Siliang Lu, Zhijia Dai, Yongbin Liu, Guoqiang Liu, Hui Yang, Feifei Wang. Decreasing bit error rate by using enhanced tristable logical stochastic resonance in heavy noise condition. Chinese Journal of Physics. 2019, Vol. 58, pp: 179-189.

J30. Siliang Lu, Yi Qin, Jun Hang, Baohua Zhang, Qunjing Wang. Adaptively Estimating Rotation Speed from DC Motor Current Ripple for Order Tracking and Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 2019, Vol. 68, pp: 741-753.

J29. Siliang Lu, Qingbo He, Jun Wang. A review of stochastic resonance in rotating machine fault detection. Mechanical Systems and Signal Processing. 2019, Vol. 116, pp: 230-260. (ESI Highly Cited Paper)

J28. Yiping Rong, Qunjing Wang , Siliang Lu, Guoli Li, Yin Lu, Jiazi Xu, Improving attitude detection performance for spherical motors using a MEMS inertial measurement sensor, IET Electric Power Applications, 2019, 13(2): 198-205.

2018:

J27. Jun Guo, Siliang Lu#, Chao Zhai, Qingbo He. Automatic bearing fault diagnosis of permanent magnet synchronous generators in wind turbines subjected to noise interference. Measurement Science and Technology. 2018. Vol. 29, pp: 025002.

J26. Siliang Lu, Qingbo He, Jiwen Zhao. Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system. Mechanical Systems and Signal Processing. 2018, Vol. 113, pp: 36-49.

J25. Siliang Lu, Peng Zhou, Xiaoxian Wang, Yongbin Liu, Fang Liu, Jiwen Zhao. Condition monitoring and fault diagnosis of motor bearings using undersampled vibration signals from a wireless sensor network. Journal of Sound and Vibration. 2018, Vol. 414, pp: 81-96.

J24. Siliang Lu, Xiaoxian Wang. A New Methodology to Estimate the Rotating Phase of a BLDC Motor With Its Application in Variable-Speed Bearing Fault Diagnosis. IEEE Transactions on Power Electronics. 2018, Vol. 33, pp: 3399-3410.

J23. Yi Xia, Siliang Lu, Convolutional sparse coding with periodic overlapped group sparsity for rolling element bearing fault diagnosis, Measurement Science and Technology, 2018, 29: 115103.

J22. Lin Geng, Feng Xie, Siliang Lu, Reconstructing non-stationary surface normal velocity of a planar structure using pressure-velocity probes, Applied Acoustics, 2108, 134: 46–53.

2017:

J21. Xiaoxian Wang, Jie Guo#, Siliang Lu#, Changqing Shen, Qingbo He, A computer-vision-based rotating speed estimation method for motor bearing fault diagnosis. Measurement Science and Technology. 2017, Vol. 28, pp: 065012.

J20. Peng Zhou, Siliang Lu#, Fang Liu, Yongbin Liu, Guihua Li, Jiwen Zhao, Novel synthetic index-based adaptive stochastic resonance method and its application in bearing fault diagnosis. Journal of Sound and Vibration. 2017, Vol. 391, pp: 194-210.

J19. Siliang Lu, Qingbo He, Tao Yuan, Fanrang Kong. Online Fault Diagnosis of Motor Bearing via Stochastic–Resonance-based Adaptive Filter in an Embedded System. IEEE Transactions on Systems, Man and Cybernetics: Systems. 2017, Vol. 47, pp: 1111-1122.

J18. Siliang Lu, Qingbo He, Haibin Zhang, Fanrang Kong. Rotating machine fault diagnosis through enhanced stochastic resonance by full-wave signal construction. Mechanical Systems and Signal Processing. 2017, Vol. 85, pp: 82-97. (ESI Highly Cited Paper)

J17. Qingbo He, Yanyan Xu, Siliang Lu, Yong Shao, Frequency-shift vibro-acoustic modulation driven by low-frequency broadband excitations in a bistable cantilever oscillator, Measurement Science and Technology, 2017, 28: 037002.

J16. Cristian Lopez, Wei Zhong, Siliang Lu, Feiyun Cong, Ignacio Cortese, Stochastic resonance in an underdamped system with FitzHug-Nagumo potential for weak signal detection, Journal of Sound and Vibration, 2017, 411: 34-46.

J15: Juncai Song, Fei Dong, Jiwen Zhao, Siliang Lu, Shaokun Dou, Hui Wang, Optimal design of permanent magnet linear synchronous motors based on Taguchi method, IET Electric Power Applications, 2017, 11(1): 41-48.

2016:

J14. Siliang Lu, Qingbo He, Daoyi Dai, Fanrang Kong. Periodic fault signal enhancement in rotating machine vibrations via stochastic resonance. Journal of Vibration and Control. 2016, Vol. 22 (20), pp: 4227–4246.

J13. Siliang Lu, Xiaoxian Wang, Qingbo He, Fang Liu, Yongbin Liu. Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals. Journal of Sound and Vibration. 2016, Vol. 385, pp: 16-32.

J12. Siliang Lu, Jie Guo, Qingbo He, Fang Liu, Yongbin Liu, Jiwen Zhao. A Novel Contactless Angular Resampling Method for Motor Bearing Fault Diagnosis Under Variable Speed. IEEE Transactions on Instrumentation and Measurement. 2016, Vol. 65, pp: 2538-2550.

J11. Haibin Zhang, Siliang Lu, Qingbo He, Fanrang Kong, Multi-bearing defect detection with trackside acoustic signal based on apseudo time–frequency analysis and Dopplerlet filter, Mechanical Systems and Signal Processing, 2016, 70-71: 176–200.

J10. Shangbin Zhang, Siliang Lu, Qingbo He, Fanrang Kong, Time-varying singular value decomposition for periodic transient identification in bearing fault diagnosis, Journal of Sound and Vibration, 2016, 379: 213–231.

J9. Yongbin Liu, Bing He, Fang Liu, Siliang Lu, Yilei Zhao, Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification, Journal of Sound and Vibration, 2016, 385: 389–401.

J8. Jie Guo, Chang’an Zhu, Siliang Lu, Dashan Zhang, Chunyu Zhang, Vision-based measurement for rotational speed by improving Lucas–Kanade template tracking algorithm, Applied Optics, 2016, 55(25): 7186-7194.

2015及以前：

J7. Siliang Lu, Qingbo He, Fanrang Kong. Effects of underdamped step-varying second-order stochastic resonance for weak signal detection. Digital Signal Processing. 2015, Vol. 36, pp: 93-103.

J6. Siliang Lu, Qingbo He, Haibin Zhang, Fanrang Kong. Enhanced rotating machine fault diagnosis based on time-delayed feedback stochastic resonance. Journal of Vibration and Acoustics, Transactions of the ASME. 2015, Vol. 137, pp: 051008.

J5. Siliang Lu, Qingbo He, Fei Hu, Fanrang Kong. Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System. IEEE Transactions on Instrumentation and Measurement. 2014, Vol. 63(1), pp: 106-116.

J4. Siliang Lu, Qingbo He, Fanrang Kong. Note: On-line weak signal detection via adaptive stochastic resonance. Review of Scientific Instruments. 2014, Vol. 85(6), pp: 066111.

J3. Siliang Lu, Qingbo He, Fanrang Kong. Stochastic Resonance with Woods-Saxon potential for rolling element bearing fault diagnosis. Mechanical Systems and Signal Processing. 2014, Vol. 45(2), pp: 488-503.

J2. Qingbo He, Yanyan Xu, Siliang Lu, Daoyi Dai, Out-of-resonance vibration modulation of ultrasound with a nonlinear oscillator for microcrack detection in a cantilever beam, Applied Physics Letters, 2014, 104: 171903.

J1. Siliang Lu, Qingbo He, Haibin Zhang, Shangbin Zhang, Fanrang Kong. Note: Signal amplification and filtering with a tristable stochastic resonance cantilever. Review of Scientific Instruments. 2013, Vol. 84(2), pp: 026110.

中文论文：

J21. 吴艳萍，陆思良，宋俊材，王骁贤，吴先红，丁伟, 基于S-L2UWE变换和SA-ConvNeXt的永磁同步直线电机导轨故障诊断，振动与冲击，2024，接收。

J20. 钱龙，吴先红，宋俊材，陆思良，王骁贤，基于杂散磁场信号螺旋曲线投影变换与ResNeXt-18的永磁直线电机偏心故障诊断，电工技术学报，2024，接收。

J19. 丁伟，宋俊材，陆思良，王骁贤，基于多通道信号二维递归融合和ECA-ConvNeXt的永磁同步电机高阻接触故障诊断，电工技术学报，2024，接收。

J18. 韩厚宏，宋俊材，陆思良，王骁贤，Convformer-NSE融合多源信号的开关磁阻电机故障诊断，机械科学与技术，2023，接收。

J17. 丁伟，陈律，王骁贤，宋俊材，陆思良，基于一维噪声增强卷积神经网络的轴承剩余寿命预测，轴承，2023，接收。

J16. 陈曦，王辉，陆思良，严如强，ALC-PFL:基于个性化联邦学习的轴承寿命预测方法，仪器仪表学报，2023，44(12): 69-78。

J15. 吴先红，宋俊材，王骁贤，陆思良, 基于杂散磁场感知与NBCNN-LSTM-Attention深度回归建模的永磁直线电机气隙磁密测量研究，仪器仪表学报,2023,44(07):305-314.

J14. 刘铄，宋俊材，陆思良，吴先红，丁伟，基于灰度纹理特征提取和CS-SNN的双定子永磁同步直线电机退磁故障诊断研究，中国电机工程学报,2023,43(16):6464-6474.

J13. 张凌寒，陆思良，基于量子遗传算法优化的空间魔法波形装置动态网格坐标误差分析，齐齐哈尔大学学报(自然科学版),2023,39(03):6-13.

J12. 陈康，安康，王骁贤，宋俊材，陆思良，基于振动和电流信号深度融合的电机转速估计及轴承故障诊断，轴承，2023(02): 54-60。

J11. 韩朋朋，贺长波，陆思良，基于参数优化变分模态分解与循环平稳分析的轴承早期故障诊断方法研究，机电工程，2022，39(7): 895-902+926。

J10. 汪文龙，贺长波，王骁贤，陆思良，强噪声背景下基于多尺度信号调节自编码器的永磁电机故障诊断研究，振动与冲击，2022，41(14)：164-171。

J9. 王骁贤，陆思良，何清波，张世武，变转速工况下基于多传感器信号深度特征融合的电机故障诊断研究，仪器仪表学报，2022,43(3): 59-67。

J8. 安康，王骁贤，陆思良，基于漏磁和振动信号融合的变转速电机轴承故障诊断方法及仪器研究，轴承，2022(04):63-69.

J7. 武智超，王慧，王吉亮，王骁贤，陆思良，基于阵列漏磁信号分析的无刷直流电机高阻接触故障诊断研究，电子测量与仪器学报，2021,35(11):108-114。

J6. 王吉亮，王慧，王骁贤，陆思良，无刷直流电机匝间短路故障定位及定量评估方法研究，河北科技大学学报，2021，Vol. 42，No.3，pp: 248-256.

J5. 王骁贤，张保华，陆思良.基于连续小波变换和卷积神经网络的无刷直流电机故障诊断，机械与电子，2018，Vol. 36, No.06: 29-32.

J4. 陆思良，苏云升，赵吉文，何清波，刘方，刘永斌，基于二维互补随机共振的轴承故障诊断方法研究，振动与冲击，2018，Vol. 37, No. 4, pp: 7-12+27.

J3. 张海滨，陆思良，何清波，孔凡让，多普勒畸变声学信号的伪时频分析及其校正，振动与冲击，2016，35(05):14-20.

J2. 廖雨翔，陆思良，张海滨，张尚斌，孔凡让，高尔夫收球机器人路径规划研究，机械与电子，2014(12):77-80.

J1. 黄铭，陆思良，孔凡让，魔方还原机器人的视觉子系统设计与实现，机械与电子，2013(05):60-64.

发明专利

P8. 王骁贤，陆思良，基于星型磁场传感器阵列噪声深度重建的信号动态去噪方法，CN2022104821952，实审。

P7. 陆思良，代志家，刘永斌，琚斌，刘方，一种三稳态逻辑随机共振方法，ZL2018102829099，授权，2021。

P6. 陆思良，郑平，刘永斌，刘方，李国丽，一种声音辅助振动微弱信号增强检测的随机共振滤波器，ZL2018115217688，授权,2020。

P5. 陆思良，王骁贤，赵吉文，刘永斌，刘方，一种变转速工况下的永磁同步电机轴承在线故障诊断装置及方法，ZL2016112038719，授权,2019。

P4. 陆思良，钱刚，潘从元，刘永斌，基于欠采样信号的轴承故障诊断方法及无线网络节点装置，ZL2017108032042，授权,2018。

P3. 陆思良，周鹏，李桂华，赵吉文，刘方，刘永斌，一种基于自适应随机共振滤波器的微弱信号检测方法，ZL2016108253642，授权,2018。

P2. 陆思良，苏云升，赵吉文，王骁贤，刘方，刘永斌，一种基于互补随机共振滤波器的微弱信号增强检测方法，ZL201611110937X，授权,2018。

P1. 陆思良，周天昊，苏杰，张扬，一种冒泡排序算法演示装置，ZL2017107239483，授权,2018。

荣誉奖励

2023年获Outstanding Associate Editor for IEEE Transactions on Instrumentation and Measurement

2023年指导“基于准直驱直流无刷电机的机器人五杆腿的构建和控制（胡江涛）”获安徽省机器人学会优秀本科毕业论文。

2023年在“第二十二届全国大学生机器人大赛RoboMaster2023机甲大师高校联盟赛”步兵对抗赛中获得机器人实战奖全国三等奖（指导教师）

2023年论文“Teaching Enhancing Ability of Scientific Paper Writing: A Case Study in the Fields of Instrumentation and Measurement”获得International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligence (ICSMD 2023) best poster paper award

2023年“基于噪声增强卷积神经网络的电机故障诊断方法及其边缘计算实现”获得首届2023北京交叉科学大会优秀报告

2023年入选安徽省高端人才引育行动项目：青年拔尖人才青年学者

2023年Outstanding Reviewer for IEEE Transactions on Instrumentation and Measurement

2023年项目“灵眸科技——基于多模态故障诊断的机电设备实时检测系统”获第九届中国国际“互联网+”大学生创新创业大赛省赛金奖（指导教师）

2023年获第九届中国国际“互联网+”大学生创新创业大赛省赛银奖（指导教师）

2022年度获安徽大学教育基金会“中鑫继远奖教金”

2022年入选安徽大学“至诚至坚优秀人才”计划

2022年获第二十一届全国大学生机器人大赛RoboMaster机甲大师高校联盟赛步兵对抗赛（手动步兵组）全国二等奖（指导教师）

2022年全国设备监测诊断与维护学术会议优秀论文奖：变转速工况下基于多传感器信号深度特征融合的电机故障诊断研究。(10/304)

2022年项目“高诊无忧——新能源汽车电驱系统全能守护者”获第八届中国国际“互联网+”大学生创新创业大赛省赛银奖（指导教师）

2022年项目“磁场阵列信号反演成像方法及其在动力电池电流分布测量中的研究”获第八届安徽大学“互联网+”大学生创新创业大赛铜奖（指导教师）

2021-2022年入选斯坦福大学与Elsevier联合发布的全球前2%顶尖科学家榜单

2021年度获安徽大学教育基金会“中鑫继远奖教金”

2021年项目“基于多传感器信息融合的风机齿轮箱故障诊断”获机械传动国家重点实验室开放课题优秀结题项目

2021年获工程训练综合能力竞赛省级一等奖（指导教师）

2021年获ROBOMASTER机甲大师高校联盟赛（山西站）二等奖（指导教师）

2021年获全国大学生嵌入式芯片与系统设计竞赛中部赛区二等奖（指导教师）

2020年项目“复杂工况下设备故障信号调控与融合诊断理论方法”获安徽省自然科学奖二等奖

2020年获安徽大学青年教师教学竞赛二等奖

2019年入选安徽大学第二批“优秀人才计划”

2019年项目“高可靠性高效率新能源车用电驱动系统关键技术及产业化应用”获中国电工技术学会科学技术奖一等奖

2019年项目“高速列车轴承复杂声学环境下道旁故障诊断关键理论研究”获国家自然科学基金机械工程学科2018年度优秀结题项目（10/所有18年结题E05面上和青年项目）

2019年项目“自适应随机共振滤波器理论及其在机械故障在线诊断中的应用研究”获安徽省科技厅发布的自然科学基金结题评价A等级（27/465）

2018年获安徽省教学成果奖二等奖:新工科背景下以智能汽车竞赛为载体提升大学生工程实践能力的探索

2018年获‘Mechanical Systems and Signal Processing, Elsevier’、‘Computers and Electrical Engineering, Elsevier’、‘Chinese Journal of Physics, Elsevier’期刊‘Outstanding Reviewer Award’

2017年获安徽大学第八届青年教师教学基本功比赛三等奖

2016年获中国机器人大赛暨 RoboCup公开赛安徽省赛区二等奖（指导教师）

2016年获全国大学生“恩智浦/飞思卡尔”杯智能车竞赛安徽赛区一等奖（指导教师）

学生时代获得的主要荣誉

2015年获中国科学院朱李月华奖

2015年获安徽省优秀毕业生

2014年获上海市科学技术二等奖：上海科技馆“魔方机器人”科普展品研发

2014年获博士研究生国家奖学金

2011年获安徽省“挑战杯”学术科技竞赛特等奖

受邀学术报告

T9. 边缘智能驱动的设备状态实时监测与控制，南京信息工程大学自动化学院，2023年。

T8. 边缘智能驱动的设备状态实时监测与控制，上海工程技术大学城市轨道交通学院，2023年。

T7. 电机无编码器转速估计及变转速工况阶次分析故障诊断，中国矿业大学机电工程学院，2022年。

T6. 科技论文写作交流，北京工业大学材料与制造学部，2022年。

T5. 边缘智能驱动的设备状态实时监测与控制，重庆大学机械传动国家重点实验室，2022年。

T4. 边缘智能驱动的设备状态实时监测与控制，《机械工程学报》JME学院网络公开课，2022年。

T3. 多源信号边缘计算及其在机电系统监测诊断中的应用，青岛大学自动化工程学院复杂性科学研究所，2021年。

T2. 多源信号边缘计算及其在机电系统监测诊断中的应用，合肥工业大学计算机学院，2020年。

T1. 电机故障诊断，苏州大学轨道交通学院，2016年。

学术兼职

担任50+SCI期刊审稿人，部分期刊如下：

  1. IEEE Transactions on Industrial Electronics
  2. IEEE Transactions on Industrial Informatics
  3. IEEE Transactions on Power Electronics
  4. IEEE Transactions on Circuits and Systems I: Regular Papers
  5. IEEE/ASME Transactions on Mechatronics
  6. IEEE Transactions on Reliability
  7. IEEE Transactions on Instrumentation and Measurement
  8. IEEE Transactions on Systems, Man and Cybernetics: Systems
  9. IEEE Transactions on Industry Applications
  10. IEEE Transactions on Neural Networks and Learning Systems
  11. IEEE Transactions on Transportation Electrification
  12. IEEE Journal of Emerging and Selected Topics in Power Electronics
  13. IEEE Journal of Biomedical and Health Informatics
  14. IEEE Internet of Things Journal
  15. IEEE Systems Journal
  16. IEEE Sensors Journal
  17. IEEE Geoscience and Remote Sensing Letters
  18. IET Signal Processing
  19. IET Science, Measurement & Technology
  20. Mechanical Systems and Signal Processing, Elsevier
  21. Journal of Sound and Vibration, Elsevier
  22. Expert Systems With Applications, Elsevier
  23. ISA Transactions, Elsevier
  24. Information Fusion, Elsevier
  25. Chaos, Solitons and Fractals, Elsevier
  26. Reliability Engineering and System Safety, Elsevier
  27. Engineering Applications of Artificial Intelligence, Elsevier
  28. Applied Acoustics, Elsevier
  29. Engineering Failure Analysis, Elsevier
  30. Computers & Electrical Engineering, Elsevier
  31. Chinese Journal of Physics, Elsevier
  32. Optics and Laser Technology, Elsevier
  33. Measurement, Elsevier
  34. Advanced Engineering Informatics, Elsevier
  35. Sensors and Actuators: A. Physical, Elsevier
  36. Physica A: Statistical Mechanics and its Applications, Elsevier
  37. Internet of Things, Elsevier
  38. Alexandria Engineering Journal, Elsevier
  39. Applied Mathematical Modelling, Elsevier
  40. Journal of Vibration and Control, Sage
  41. PIME, Part C: Journal of Mechanical Engineering Science, Sage
  42. PIME, Part F: Journal of Rail and Rapid Transit, Sage
  43. International Journal of Advanced Manufacturing Technology, Springer
  44. Journal of Mechanical Science and Technology, Springer
  45. Journal of Intelligent Manufacturing, Springer
  46. Journal of Vibration Engineering & Technologies, Springer
  47. Measurement Science and Technology, IoP
  48. Energy Science & Engineering, Wiley
  49. Journal of Food Process Engineering, Wiley
  50. CSEE Journal of Power and Energy Systems
  51. Research, a Science Partner Journal