About Me

Dr Yuandong Xu is a Professor in the Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment at Hunan University of Science and Technology. He has worked in the field of machinery condition monitoring for over nine years in developing advanced signal processing methods, effective and efficient detection and diagnosis approaches, system identification methods, numerical and analytic models, experiment systems, data acquisition software and hardware, and online condition monitoring systems.

Research Interests

Fault Detection and Diagnosis

Signal Processing

Vibroacoustic Testing and Analysis

Experimental/Operational Modal Analysis

Development of Online Condition Monitoring Systems

Project Experience

  • NSFC Youth Project - Modulation Mechanism and Early Fault Diagnosis of Planetary Gears
  • Rolls-Royce CORNERSTONE Project - Dynamics of the Entire Turboshaft Engine
  • China Ship Building - Intelligent Condition Monitoring System of Marine Powertrains
  • Torsional Vibration Analysis of Diesel Engines
  • Vibration based Fault Detection and Diagnosis of Bearings and Gearboxes
  • Motor Current Signature Analysis for Fault Detection and Diagnosis of Induction Machines
  • Vibroacoustic Signals based Lubrication Condition Monitoring of Journal Bearings
  • Investigation of Tribological Responses between Piston-Rings and Cylinder-Liner using Acoustic Emissions
  • Airborne Acoustics based Condition Monitoring of Novel Compressors
  • Experimental/Operational Modal Analysis of Truck Frames

Publications - Articles

  1. 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.
  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. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  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. 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.
  16. 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.
  17. Pieter A. Vuuren, Yuandong Xu, Fengshou Gu, and Andrew D. Ball, ‘Monitoring gearbox oil viscosity by means of motor current signal analysis’, International Journal of Condition Monitoring, vol. 8, no. 1, pp. 30–35, 2018.

Publications - Conferences

  1. Solomon Okhionkpamwonyi, Guoxing Li, Yuandong Xu, Fengshou Gu, and Andrew 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.
  2. Zerui Liu, Hongjun Wang, Yongjian Ji, Fengshou Gu, and Yuandong Xu, ‘Spindle Status Monitoring and Fault Feature Information Acquisition Based on Rotor Sensing’, in International Conference on Maintenance Engineering, 2021, pp. 809–829.
  3. Baoshan Huang, Yuandong Xu, David Mba, Xiaochuan Li, Niaoqing Hu, Fengshou Gu, and Andrew Ball, ‘Helicopter Planet Bearing Fault Diagnosis Based on Modulation Signal Bispectrum Analysis’, in International Conference on Maintenance Engineering, 2021, pp. 784–797.
  4. Huanqing Han, Yubin Lin, Lichang Gu, Yuandong Xu, and Fengshou Gu, ‘Vibration Analysis Based Condition Monitoring for Industrial Robots’, in International Conference on Maintenance Engineering, 2021, pp. 186–195.
  5. Khalid Rabeyee, Yuandong Xu, Aisha Alashter, Fengshou Gu, and Andrew D. Ball, ‘A componential coding neural network based signal modelling for condition monitoring’, in Advances in Asset Management and Condition Monitoring, Cham, 2020, pp. 559–572. doi: 10.1007/978-3-030-57745-2_47.
  6. Ugonnaya Enyinnaya Muo, Yuandong Xu, Andrew Ball, and Fengshuo Gu, ‘Application of wavelet packet transform and envelope analysis on pressure pulsations from a reciprocating compressor’, in Advances in Asset Management and Condition Monitoring, Cham, 2020, pp. 525–535. doi: 10.1007/978-3-030-57745-2_44.
  7. JiaoJiao Ma, Yuandong Xu, Fulong Liu, Zhanqun Shi, Hao Zhang, Fengshou Gu, and Andrew D. Ball, ‘Vibrations based lubricity condition monitoring of journal bearings’, in Advances in Asset Management and Condition Monitoring, Cham, 2020, pp. 883–892. doi: 10.1007/978-3-030-57745-2_72.
  8. Fengxia Han, Hongjun Wang, Cheng Qiu, and Yuandong Xu, ‘A Hybrid Prognostics Approach for Motorized Spindle-Tool Holder Remaining Useful Life Prediction’, in Advances in Asset Management and Condition Monitoring, Cham, 2020, pp. 1385–1400. doi: 10.1007/978-3-030-57745-2_114.
  9. Chao Fu, Yuandong Xu, Yongfeng Yang, Fengshou Gu, and Andrew Ball, ‘The uncertain vibrations of a rotor operating with angular acceleration based on taylor expansion’, in Advances in Asset Management and Condition Monitoring, Cham, 2020, pp. 1105–1113. doi: 10.1007/978-3-030-57745-2_91.
  10. Yunpeng Cao, Kehui Zeng, Shuying Li, Fengshou Gu, Yuandong Xu, and Bo He, ‘Multiple-model fault diagnosis method for gas turbine based on soft switch’, in Advances in Asset Management and Condition Monitoring, Cham, 2020, pp. 363–375. doi: 10.1007/978-3-030-57745-2_31.
  11. Yuandong Xu, Yuliang Yun, Fengshou Gu, and Andrew D. Ball, ‘Fault Detection and Diagnosis of IC Engine based Power Trains by IAS Analysis’, Lyon, France, Jul. 2019. Accessed: Feb. 03, 2021.
  12. Yuandong Xu, Jingzhou Fei, Yuliang Yun, Jinxin Wang, Fengshou Gu, and Andrew 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 Machinery Failure Prevention Technologies, CM 2019/MFPT 2019, Glasgow, UK, Jun. 2019.
  13. Khalid Rabeyee, Yuandong Xu, Fengshou Gu, and Andrew D. Ball, ‘A novel wavelet thresholding method for vibration data denoising and diagnostic feature enhancement in condition monitoring’, in 25th International Conference on Automation and Computing (ICAC), 2019, pp. 1–6.
  14. Khalid Rabeyee, Yuandong Xu, Samir Alabied, Fengshou Gu, and Andrew 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 Machinery Failure Prevention Technologies, CM 2019/MFPT 2019, Glasgow, UK, Jun. 2019.
  15. Qiang Zeng, Ibrahim Alqatawneh, Yuandong Xu, Yimin Shao, Fengshou Gu, and Andrew Ball, ‘The improvement of instantaneous angular speed estimation using signals from a dual read head for monitoring planetary gearboxes’, in Condition Monitoring and Diagnostic Engineering Management, 2018, p. 234.
  16. Yuandong Xu, Jongzhou Fei, Fengshou Gu, and Andrew Ball, ‘Monitoring the tribological behaviour of piston ring-cylinder liner in a four-cylinder diesel engine by using acoustic emission signals’, in 15th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2018/MFPT 2018, 2018, pp. 508–521.
  17. Khalid Rabeyee, Xiaoli Tang, Yuandong Xu, Dong Zhen, Fengshou Gu, and Andrew D. Ball, ‘Diagnosing the change in the internal clearances of rolling element bearings based on vibration signatures’, in 24th International Conference on Automation and Computing (ICAC), 2018, pp. 1–6.
  18. Robin Appadoo, Yuandong Xu, Fengshou Gu, and Andrew D. Ball, ‘Performance monitoring and fault diagnosis of vacuum pumps based on airborne sounds’, in 24th International Conference on Automation and Computing (ICAC), 2018, pp. 1–6.
  19. Yuandong Xu, Pieter A. Vuuren, Xiaoli Tang, Fengshou Gu, and Andrew Ball, ‘A robust method to detect faults of rolling bearings using ensemble average autocorrelation based stochastic subspace identification’, in 30th International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management, 2017, pp. 389–395.
  20. Yuandong Xu, Xiaoli Tang, Fengshou Gu, Andrew D. Ball, and James Xi Gu, ‘Early detection of rolling bearing faults using an auto-correlated envelope ensemble average’, in 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–6.
  21. Yuandong Xu, Li Haiyang, Dong Zhen, Ibrahim Rehab, Fengshou Gu, and Andrew Ball, ‘Fault detection of rolling bearings using an ensemble average autocorrelation based stochastic subspace identification’, in 24th International Congress on Sound and Vibration, 2017, pp. 2607–2614.
  22. Xiaoli Tang, Yuandong Xu, Fengshou Gu, Andrew D. Ball, and Guangbin Wang, ‘Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing’, in 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–6.
  23. Guojun Qin, Fengshou Gu, Yuandong Xu, Fulong Liu, and Andrew Ball, ‘Bogie Speed Estimation and Signal Source Separation via Rail Vibration Analysis’, in 30th International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management, 2017, pp. 200–208.
  24. Osama Hamomd, Samir Alabied, Yuandong Xu, Alsadak Daraz, Fengshou Gu, and Andrew Ball, ‘Vibration based centrifugal pump fault diagnosis based on modulation signal bispectrum analysis’, in 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–5.
  25. Badradin Elforjani, Yuandong Xu, Khaldoon Brethee, Zhifei Wu, Fengshou Gu, and Andrew Ball, ‘Monitoring gearbox using a wireless temperature node powered by thermal energy harvesting module’, in 23rd International Conference on Automation and Computing (ICAC), 2017, pp. 1–6.
  26. Guoxing Li, Fengshou Gu, Nasha Wei, Yuandong Xu, Andrew D. Ball, and Tie Wang, ‘A validated finite element model for predicting dynamic responses of cylinder liners in an IC engine’, in 22nd International Conference on Automation and Computing (ICAC), 2016, pp. 126–131.
  27. Nasha Wei, Fengshou Gu, Tie Wang, Guoxing Li, Yuandong Xu, Longjie Yang, and Andrew D. Ball, ‘Characterisation of acoustic emissions for the frictional effect in engines using wavelets based multi-resolution analysis’, in 21st International Conference on Automation and Computing (ICAC), 2015, pp. 1–6.