徐元栋，男，山东青岛人，1988年10月生，校聘教授，硕士生导师，湖南省“芙蓉计划”海外高层次人才（原湖南省“百人计划”），湖南科技大学海外优秀人才，英国帝国理工学院副研究员，英国哈德斯菲尔德大学博士，TEPEN国际学术组织成员。现任设备故障诊断与健康维护研究所副所长，主要从事直升机、舰船等高端装备动力系统和传动系统振动测试、早期故障诊断等方面的研究，主持国家自然科学基金项目1项，获CM国际学术会议最佳论文奖，发表高水平学术论文50余篇，其中ESI高被引2篇。
研究方向：机械故障诊断、信号处理、系统识别、声振测试
l 2023.03-至今校聘教授湖南科技大学机械设备健康维护省重点实验室
l 2020.09-2023.03 副研究员 Imperial College London 英国帝国理工学院（世界排名第6） Rolls-Royce Vibration University Technology Centre (VUTC) 罗尔斯-罗伊斯振动技术中心
l 2018.01-2020.08 助理研究员 University of Huddersfield 英国哈德斯菲尔德大学 Centre for Efficiency and Performance Engineering(CEPE)效率与性能中心
l 博士 2016.01-2020.08 University of Huddersfield, UK 机械工程导师：谷丰收教授、Andrew Ball教授
l 硕士 2012.09-2015.06 太原理工大学车辆工程导师：谷丰收教授、王铁教授
l 本科2008.09-2012.06山东交通学院交通运输
l 行星轮系早期故障信号的多分量幅-相耦合调制机理及诊断特征提取方法（NSFC青基2023-2025，主持）
l 航空发动机结构动力学研究与状态监测（工业项目--罗尔斯·罗伊斯，骨干参与）
l 船舶动力系统智能健康监测系统的开发（工业项目--中船重工，骨干参与）
l 基于声信号的燃气轮机状态监测研究（工业项目--西门子能源，骨干参与）
l 基于扭转振动的发动机状态监测研究（工业项目--AAM Driveline，参与）
l 基于声振信号的柴油机摩擦学特性研究（摩擦学国家重点实验室开放基金，参与）
l 基于声振信号的新型转子压缩机状态监测研究（工业项目--FeTu Limited，参与）
l 2023.10 湖南省“芙蓉计划”海外高层次人才
l 2018.09 获得国际会议CM2018最佳论文奖；
l 2016.06 获得留学基金委资助奖学金；
l 2016.01 获得University of Huddersfield校长Fee Waiver奖学金；
l 2014.10 获得研究生国家奖学金；
l Journal of Dynamics, Monitoring and Diagnostics期刊青年编委、优秀青年编委；
l 多个Top期刊审稿人，包括Mechanical System and Signal Processing, Journal of Sound and Vibration, Mechanism and Machine Theory, Reliability Engineering & System Safety,Journal of Industrial Information Integration, ISA Transactions,Journal of Vibration and Control, Measurement等。
l 期刊论文
[1] Z. Wang, D. Shi, Y. Xu, D. Zhen, F. Gu, and A. D. Ball, ‘Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations’, Measurement, vol. 222, p. 113614, Nov. 2023, doi: 10.1016/j.measurement.2023.113614.
[2] Yuandong Xu, Xiaoli Tang, Xiuquan Sun, Fengshou Gu, and Andrew D. Ball, ‘A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis’, IEEE Transactions on Instrumentation and Measurement, pp. 1–1, 2022, doi: 10.1109/TIM.2022.3201549.
[3] Yuandong Xu, Xiaoli Tang, Guojin Feng, Dong Wang, Craig Ashworth, Fengshou Gu, and Andrew Ball, ‘Orthogonal On-Rotor Sensing Vibrations for Condition Monitoring of Rotating Machines’, Journal of Dynamics, Monitoring and Diagnostics, vol. 1, no. 1, pp. 29–36, Mar. 2022, doi: 10.37965/jdmd.v2i2.47.
[4] Chao Fu, Kuan Lu, Yuandong Xu, Yongfeng Yang, Fengshou Gu, and Yushu Chen, ‘Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties’, Appl. Math. Mech.-Engl. Ed., vol. 43, no. 2, pp. 275–294, Feb. 2022, doi: 10.1007/s10483-022-2816-8.
[5] Shen Yan, Haidong Shao, Yiming Xiao, Jian Zhou, Yuandong Xu, and Jiafu Wan, ‘Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates’, Advanced Engineering Informatics, vol. 53, p. 101648, Aug. 2022, doi: 10.1016/j.aei.2022.101648.
[6] Yuandong Xu, Guojin Feng, Xiaoli Tang, Shixi Yang, Fengshou Gu, and Andrew D. Ball, ‘A Modulation Signal Bispectrum Enhanced Squared Envelope for the detection and diagnosis of compound epicyclic gear faults’, Structural Health Monitoring, p. 14759217221098576, May 2022, doi: 10.1177/14759217221098577.
[7] Xiaoli Tang, Yuandong Xu*, Xiuquan Sun, Yanfen Liu, Yu Jia, Fengshou Gu, and Andrew D. Ball, ‘Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements’, ISA Transactions, Jul. 2022, doi: 10.1016/j.isatra.2022.07.020.
[8] Yuandong Xu, Dong Zhen, James Xi Gu, Khalid Rabeyee, Fulei Chu, Fengshou Gu, and Andrew D. Ball, ‘Autocorrelated Envelopes for early fault detection of rolling bearings’, Mechanical Systems and Signal Processing, vol. 146, p. 106990, Jan. 2021, doi: 10.1016/j.ymssp.2020.106990.(高被引)
[9] Yuandong Xu, Chao Fu, Ning Hu, Baoshan Huang, Fengshou Gu, and Andrew D. Ball, ‘A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals’, Structural Health Monitoring, vol. 20, no. 3, pp. 1231–1246, May 2021, doi: 10.1177/1475921720949827.
[10] Nasha Wei, Zhi Chen*, Yuandong Xu*, Fengshou Gu, and Andrew Ball, ‘The investigation into the tribological impact of alternative fuels on engines based on acoustic emission’, Energies, vol. 14, no. 8, p. 2315, Jan. 2021, doi: 10.3390/en14082315.
[11] Chao Fu, Yuandong Xu, Yongfeng Yang, Kuan Lu, Fengshou Gu, and Andrew Ball, ‘Response analysis of an accelerating unbalanced rotating system with both random and interval variables’, Journal of Sound and Vibration, vol. 466, p. 115047, Feb. 2020, doi: 10.1016/j.jsv.2019.115047. (高被引)
[12] Chao Fu, Yuandong Xu, Yongfeng Yang, Kuan Lu, Fengshou Gu, and Andrew Ball, ‘Dynamics analysis of a hollow-shaft rotor system with an open crack under model uncertainties’, Communications in Nonlinear Science and Numerical Simulation, vol. 83, p. 105102, Apr. 2020, doi: 10.1016/j.cnsns.2019.105102.
[13] Yuandong Xu, Baoshan Huang, Yuliang Yun, Robert Cattley, Fengshou Gu, and Andrew D. Ball, ‘Model based IAS analysis for fault detection and diagnosis of IC engine powertrains’, Energies, vol. 13, no. 3, p. 565, Jan. 2020, doi: 10.3390/en13030565.
[14] Dong Zhen, Junchao Guo, Yuandong Xu, Hao Zhang, and Fengshou Gu, ‘A novel fault detection method for rolling bearings based on non-stationary vibration signature analysis’, Sensors, vol. 19, no. 18, p. 3994, Jan. 2019, doi: 10.3390/s19183994.
[15] Lei Hu, Yuandong Xu, Fengshou Gu, Jing He, Niaoqing Hu, and Andrew Ball, ‘Autocorrelation ensemble average of larger amplitude impact transients for the fault diagnosis of rolling element bearings’, Energies, vol. 12, no. 24, p. 4740, Jan. 2019, doi: 10.3390/en12244740.
[16] Jinxin Wang, Chi Zhang, Xiuzhen Ma, Zhongwei Wang, Yuandong Xu, and Robert Cattley, ‘A multivariate statistics-based approach for detecting diesel engine faults with weak signatures’, Energies, vol. 13, no. 4, p. 873, Jan. 2020, doi: 10.3390/en13040873.
[17] Zuolu Wang, Jie Yang, Haiyang Li, Dong Zhen, Yuandong Xu, and Fengshou Gu, ‘Fault identification of broken rotor bars in induction motors using an improved cyclic modulation spectral analysis’, Energies, vol. 12, no. 17, p. 3279, Jan. 2019, doi: 10.3390/en12173279.
[18] 徐元栋,王铁,谷丰收,陈峙,杨辉,王永红.动力总成悬置系统试验分析与优化研究[J].现代制造工程,2016(06):23-29.
[19] 徐元栋,谷丰收,王铁,魏娜莎,杨龙杰.单缸机室温冷启动的摩擦磨损研究[J].中国农机化学报,2016,37(02):156-159.
[20] 徐元栋,王铁,谷丰收,陈峙,周驰.工程专用自卸车车架动态响应研究[J].机械科学与技术,2016,35(02):309-314.
[21] 徐元栋,谷丰收,王铁,杨龙杰.基于电机滑差的不同燃油在喷油泵上的功耗研究[J].中国农机化学报,2015,36(05):274-277+298.
l 会议论文
[1] Y. Xu, M. Szydlowski, L. Muscutt, A. Rix, S. Patsias, V. Ondra, and C. W. Schwingshackl, ‘HERMES: A Novel Test Facility for Investigating Structural Dynamics of Aeroengines’, in ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, 2023.
[2] C. W. Schwingshackl, Y. Xu, M. Szydlowski, L. Muscutt, A. Rix, S. Patsias, and V. Ondra, ‘HERMES Out of Balance Excitation System’, in ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, 2023.
[3] X. Tang, Y. Jia, G. Feng, Y. Xu, F. Gu, and A. D. Ball, ‘Online Pipe Leakage Detection Using the Vibration-Based Wireless Sensing System’, in Proceedings of IncoME-VI and TEPEN 2021, Cham, 2023, pp. 477–489.
[4] S. Okhionkpamwonyi, G. Li, Y. Xu, F. Gu, and A. Ball, ‘Comparative Study of Vibration and Acoustic Emission Strategies Applied on Monitoring of Diesel Engine Fault’, in International Conference on Maintenance Engineering, 2021, pp. 310–319.
[5] Z. Liu, H. Wang, Y. Ji, F. Gu, and Y. Xu, ‘Spindle Status Monitoring and Fault Feature Information Acquisition Based on Rotor Sensing’, in International Conference on Maintenance Engineering, 2021, pp. 809–829.
[6] B. Huang, Y. Xu, D. Mba, X. Li, N. Hu, F. Gu, A. Ball, ‘Helicopter Planet Bearing Fault Diagnosis Based on Modulation Signal Bispectrum Analysis’, in International Conference on Maintenance Engineering, 2021, pp. 784–797.
[7] H. Han, Y. Lin, L. Gu, Y. Xu, and F. Gu, ‘Vibration Analysis Based Condition Monitoring for Industrial Robots’, in International Conference on Maintenance Engineering, 2021, pp. 186–195.
[8] K. Rabeyee, Y. Xu, A. Alashter, F. Gu, and A. D. Ball, ‘A Componential Coding Neural Network Based Signal Modelling for Condition Monitoring’, in Advances in Asset Management and Condition Monitoring COMADEM2019, vol 166, Springer, Cham, 2020.
[9] U. E. Muo, Y. Xu, A. Ball, and F. Gu, ‘Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor’, in Advances in Asset Management and Condition Monitoring COMADEM2019, vol 166, Springer, Cham, 2020.
[10] J. Ma, Y. Xu, F. Liu, Z. Shi, H. Zhang, F. Gu, and A. D. Ball, ‘Vibrations Based Lubricity Condition Monitoring of Journal Bearings’, in Advances in Asset Management and Condition Monitoring COMADEM2019, vol 166, Springer, Cham, 2020.
[11] F. Han, H. Wang, C. Qiu, and Y. Xu, ‘A Hybrid Prognostics Approach for Motorized Spindle-Tool Holder Remaining Useful Life Prediction’, in Advances in Asset Management and Condition Monitoring COMADEM2019, vol 166, Springer, Cham, 2020.
[12] C. Fu, Y. Xu, Y. Yang, F. Gu, and A. Ball, ‘The Uncertain Vibrations of a Rotor Operating with Angular Acceleration Based on Taylor Expansion’, in Advances in Asset Management and Condition Monitoring COMADEM2019, vol 166, Springer, Cham, 2020.
[13] Y. Cao, K. Zeng, S. Li, F. Gu, Y. Xu, and B. He, ‘Multiple-Model Fault Diagnosis Method for Gas Turbine Based on Soft Switch’, in Advances in Asset Management and Condition Monitoring COMADEM2019, vol 166, Springer, Cham, 2020.
[14] Y. Xu, Y. Yun, F. Gu, and A. D. Ball, ‘Fault Detection and Diagnosis of IC Engine based Power Trains by IAS Analysis’, in Surveillance, Vishno and AVE conferences, Lyon, France, 2019.
[15] Y. Xu, J. Fei, Y. Yun, J. Wang, F. Gu, and A. D. Ball, ‘Modelling in-cylinder pressures for accurate simulations of instantaneous angular speed responses to combustion faults in an IC engine powertrain’, presented at the 16th International Conference on Condition Monitoring and Asset Management, CM 2019, 2019.
[16] K. Rabeyee, Y. Xu, F. Gu, and A. D. Ball, ‘A novel wavelet thresholding method for vibration data denoising and diagnostic feature enhancement in condition monitoring’, presented at the ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing, 2019.
[17] K. Rabeyee, Y. Xu, S. Alabied, F. Gu, and A. D. Ball, ‘Extraction of information from vibration data using double density discrete wavelet analysis for condition monitoring’, presented at the 16th International Conference on Condition Monitoring and Asset Management, CM 2019.
[18] J. Ma, Y. Xu, Z. Shi, B. Huang, F. Gu, and A. D. Ball, ‘Experimental investigation of operational variables influence on the generation of acoustic emission in the shear of oil film’, in Proceedings of 4th International Conference on Maintenance Engineering, Dubai, United Arab Emirates, 2019.
[19] B. Huang, Y. Xu, H. Li, X. Zou, F. Gu, and A. D. Ball, ‘Fast Spectral Correlation of Motor Current Signals for Broken Rotor Bar Detection and Diagnosis’, in Proceedings of 4th International Conference on Maintenance Engineering, Dubai, United Arab Emirates, 2019.
[20] Y. Xu, J. Fei, F. Gu, and A. D. Ball, ‘Monitoring the tribological behaviour of piston ring-cylinder liner in a four-cylinder diesel engine by using acoustic emission signals’, presented at the 15th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2018/MFPT 2018, 2018, pp. 508–521.
[21] K. Rabeyee, X. Tang, Y. Xu, D. Zhen, F. Gu, and A. D. Ball, ‘Diagnosing the change in the internal clearances of rolling element bearings based on vibration signatures’, presented at the ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing, 2018.
[22] R. Appadoo, Y. Xu, F. Gu, and A. D. Ball, ‘Performance monitoring and fault diagnosis of vacuum pumps based on airborne sounds’, presented at the ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing, 2018.
[23] Y. Xu, P. A. van Vuuren, X. Tan, F. Gu, and A. Ball, ‘A robust method to detect faults of rolling bearings using ensemble average autocorrelation based stochastic subspace identification’, in COMADEM 2017 Proceedings, Preston, UK, 2017.
[24] Y. Xu, L. Haiyang, D. Zhen, I. Rehab, F. Gu, and A. Ball, ‘Fault detection of rolling bearings using an ensemble average autocorrelation based stochastic subspace identification’, in Proceedings of 24th International Congress on Sound and Vibration (ICSV), London, UK, 2017.
[25] Y. Xu, X. Tang, F. Gu, A. D. Ball, and J. X. Gu, ‘Early detection of rolling bearing faults using an auto-correlated envelope ensemble average’, in 2017 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–6.
[26] X. Tang, Y. Xu, F. Gu, A. D. Ball, and G. Wang, ‘Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing’, in 2017 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–6.
[27] G. Qin, F. Gu, Y. Xu, F. Liu, and A. D. Ball, ‘Bogie speed estimation and signal source separation via rail vibration analysis’, in COMADEM 2017 Proceedings, Preston, UK, 2017.
[28] Hamomd, S. Alabied, Y. Xu, A. Daraz, F. Gu, and A. Ball, ‘Vibration based centrifugal pump fault diagnosis based on modulation signal bispectrum analysis’, in 2017 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–5.
[29] B. Elforjani, Y. Xu, K. Brethee, Z. Wu, F. Gu, and A. Ball, ‘Monitoring gearbox using a wireless temperature node powered by thermal energy harvesting module’, in 2017 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–6.
[30] G. Li, F. Gu, N. Wei, Y. Xu, and A. Ball, ‘A validated finite element model for predicting dynamic responses of cylinder liners in an IC engine’, in Proceedings 22nd International Conference on Automation and Computing (ICAC), Essex, UK, 2016.
[31] N. Wei, F. Gu, T. Wang, G. Li, Y. Xu, L. Yang, and A. Ball, ‘Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis’, in Proceedings of the 21st International Conference on Automation and Computing (ICAC), Glasgow, UK, 2015.
