Research Output per year
Personal profile
Google Scholar h-Index
38 Last checked 25 June 2020
Biography
Fengshou Gu is one of our experts in the fields of vibro-acoustics analysis and machinery diagnosis, with over 20 years of research experience. He is the author of over 200 technical and professional publications in machine dynamics, signal processing, tribology dynamic responses, condition monitoring and related fields. He has been involved in vibro-acoustics characterisation related to internal combustion engines, reciprocating compressors, centrifugal pumps, electric motors, hydraulic power systems, gearboxes, mechnical seals and rolling/journal bearings. He has experience in system modeling, various physical parameter measurements, and advanced signal processing techniques including time-frequency analysis, modulation signal bispectra, wavelet transforms, neural network algorithms and statistical analysis.
Research Expertise and Interests
- Vibro-impact modelling;
- Machine modelling and fault simulation;
- Neural network modelling;
- Time-frequency and time-scale analysis;
- Modulation and demodulation analysis;
- Complex vibro-acoustic source identification;
- Acoustic condition monitoring;
- Tribo-dynamics and lubrication
- Intelligent monitoring system;
- Powerless and wireless data sensing and transfer
Research Degree Supervision
Click Here to see all postgraduate research opportunities with Professor Fengshou Gu
Research Expertise and Interests
- Machine modelling
- Diagnostics
- Vibro-impact modelling
- signal processing
- Machine Dynamics
- Tribology
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Research Output
A Bearing Fault Diagnosis Using a Support Vector Machine Optimised by the Self-Regulating Particle Swarm
Fan, Y., Zhang, C., Xue, Y., Wang, J. & Gu, F., 20 Mar 2020, In : Shock and Vibration. 2020, 11 p., 9096852.Research output: Contribution to journal › Article
Open Access
An accurate instantaneous angular speed estimation method based on a dual detector setup
Zeng, Q., Feng, G., Shao, Y., Devitt, J., Gu, F. & Ball, A., 1 Jun 2020, In : Mechanical Systems and Signal Processing. 140, 16 p., 106674.Research output: Contribution to journal › Article
An enhanced modulation signal bispectrum analysis for bearing fault detection based on non-Gaussian noise suppression
Guo, J., Zhang, H., Zhen, D., Shi, Z., Gu, F. & Ball, A. D., 1 Feb 2020, In : Measurement: Journal of the International Measurement Confederation. 151, 11 p., 107240.Research output: Contribution to journal › Article
A Novel Method for the Dynamic Coefficients Identification of Journal Bearings using Kalman Filter
Kang, Y., Shi, Z., Zhang, H., Zhen, D. & Gu, F., 20 Jan 2020, In : Sensors (Switzerland). 20, 2, 17 p., 565.Research output: Contribution to journal › Article
Open Access
2
Citations
(Scopus)
Autocorrelated Envelopes for early fault detection of rolling bearings
Xu, Y., Zhen, D., Gu, J. X., Rabeyee, K., Chu, F., Gu, F. & Ball, A. D., 27 May 2020, In : Mechanical Systems and Signal Processing. 146, 30 p., 106990.Research output: Contribution to journal › Article
Open Access
Activities
International Conference on Maintenance Engineering
Usama Haba (Participant), Abdulkarim Shaeboub (Participant), Zainab Mones (Participant), Fengshou Gu (Participant), Andrew Ball (Participant)5 Sep 2017 → 6 Sep 2017
Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
A Robust Fault Detection Method of Rolling Bearings Using Modulation Signal Bispectrum Analysis
Fengshou Gu (Contributor to Paper or Presentation), Andrew Ball (Contributor to Paper or Presentation), Xiange Tian (Speaker), Ibrahim.A.M Rehab (Speaker), Gaballa Abdalla (Speaker)1 Dec 2015
Activity: Talk or presentation types › Oral presentation
Press / Media
Huddersfield joins Chinese university for engineering research network
10/06/19 → 11/06/19
7 items of Media coverage
Press/Media: Expert Comment
Energy Harvesting from Shock Absorbers to Benefit Road and Rail
Andrew Ball, Fengshou Gu, Ruichen Wang & Paul Allen
28/10/16 → 31/10/16
2 items of Media coverage
Press/Media: Expert Comment
Researchers Perform Numerical Analysis of Complex Welding Technique
29/09/14
1 item of Media coverage
Press/Media: Expert Comment
Researchers Team Up to Evaluate Friction Stir Welding in Modern Industry
29/09/14
1 item of Media coverage
Press/Media: Research