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Personal profile


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;
  • 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


  • Machine modelling
  • Diagnostics
  • Vibro-impact modelling
  • signal processing
  • Machine Dynamics

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Bearings (structural) Engineering & Materials Science
Condition monitoring Engineering & Materials Science
Failure analysis Engineering & Materials Science
Fault detection Engineering & Materials Science
Signal analysis Engineering & Materials Science
Reciprocating compressors Engineering & Materials Science
Modulation Engineering & Materials Science
Monitoring Engineering & Materials Science

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Research Output 2000 2018

3 Citations
Bearings (structural)
Condition monitoring
Fault detection
Frequency bands

A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis

Wang, G., Gu, F., Rehab, I., Ball, A. & Li, L. 19 Apr 2018 In : Mathematical Problems in Engineering. 2018, 12 p., 2954094

Research output: Contribution to journalArticle

Open Access
Bearings (structural)
Signal analysis
1 Citations

Model-based chatter stability prediction and detection for the turning of a flexible workpiece

Lu, K., Lian, Z., Gu, F. & Liu, H. 1 Feb 2018 In : Mechanical Systems and Signal Processing. 100, p. 814-826 13 p.

Research output: Contribution to journalArticle

Linear stability analysis
Cutting tools
fault detection
acoustic emission
Condition monitoring
Acoustic emissions
Fault detection

A comparative study of gravitational acceleration cancellation from on-rotor MEMS accelerometers for condition monitoring

Mones, Z., Feng, G., Tang, X., Haba, U., Gu, F. & Ball, A. 2017 Proceedings of the 24th International Congress on Sound and Vibration, ICSV 2017. Gibbs, B. (ed.). International Institute of Acoustics and Vibration, IIAV

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
rotor dynamics

Activities 2015 2015

  • 1 Oral presentation

A Robust Fault Detection Method of Rolling Bearings Using Modulation Signal Bispectrum Analysis

Gu, F. (Contributor to Paper or Presentation), Ball, A. (Contributor to Paper or Presentation), Xiange Tian (Speaker), Ibrahim.A.M Rehab (Speaker), Gaballa Abdalla (Speaker)
1 Dec 2015

Activity: Oral presentation