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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;
  • 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

Fingerprint Dive into the research topics where Fengshou Gu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1996 2020

A homography transformation based video stabilization method for structural health monitoring using a unmanned aerial vehicle

Li, M., Gu, F., Ball, A. & Song, L., 1 Aug 2019, Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019) . British Institute of Non-Destructive Testing, Vol. 1. 130

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

Structural health monitoring
Unmanned aerial vehicles (UAV)

Airborne Acoustic Signature Analysis for Fault Diagnosis of Reciprocating Compressors Using Modulation Signal Bi-spectrum

Mondal, D., Haba, U., Gu, F. & Ball, A., 11 Nov 2019, 2019 25th IEEE International Conference on Automation and Computing, ICAC 2019: Improving Productivity through Automation and Computing. Yu, H. (ed.). Institute of Electrical and Electronics Engineers Inc., 5 p. 8895097

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

Reciprocating compressors
Fault Diagnosis
Failure analysis

An Approach to Reducing Input Parameter Volume for Fault Classifiers

Smith, A., Gu, F. & Ball, A., Apr 2019, In : International Journal of Automation and Computing. 16, 2, p. 199-212 14 p.

Research output: Contribution to journalArticle

Open Access
Bayes Classifier
Bearings (structural)
Non-Gaussian Noise
Noise Suppression
fault detection

An Introduction of a Robust OMA Method: CoS-SSI and Its Performance Evaluation through the Simulation and a Case Study

Liu, F., Wu, J., Gu, F. & Ball, A. D., 31 Jan 2019, In : Shock and Vibration. 2019, p. 1-14 14 p., 6581516.

Research output: Contribution to journalArticle

Open Access
Correlation methods
Modal analysis
set theory
Structural health monitoring

Activities 2015 2017

  • 1 Participating in a conference, workshop, ...
  • 1 Oral presentation

International Conference on Maintenance Engineering

Usama Haba (Participant), Abdulkarim Shaeboub (Participant), Zainab Mones (Participant), Fengshou Gu (Participant), Andrew Ball (Participant)
5 Sep 20176 Sep 2017

Activity: Participating in or organising an event typesParticipating 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 typesOral presentation

Press / Media

Huddersfield joins Chinese university for engineering research network

Andrew Ball & Fengshou Gu


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


2 items of Media coverage

Press/Media: Expert Comment

Researchers Perform Numerical Analysis of Complex Welding Technique

Andrew Ball & Fengshou Gu


1 item of Media coverage

Press/Media: Expert Comment

Research: Friction Stir Welding

Andrew Ball & Fengshou Gu


1 item of Media coverage

Press/Media: Research