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Personal profile

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

Keywords

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

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.

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

Research Output 1996 2019

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
Fault
Classifiers
Classifier
Naive Bayes Classifier
Harmonic

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
evaluation
Structural health monitoring

An Investigation into the Acoustic Emissions of Internal Combustion Engines with Modelling and Wavelet Package Analysis for Monitoring Lubrication Conditions

Wei, N., Gu, J. X., Gu, F., Chen, Z., Li, G. & Ball, A., 16 Feb 2019, In : Energies. 12, 4, 19 p., 640.

Research output: Contribution to journalArticle

Open Access
Internal Combustion Engine
Acoustic Emission
Lubrication
Acoustic emissions
Internal combustion engines

A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems

Huang, B., Feng, G., Tang, X., Gu, J. X., Xu, G., Cattley, R., Gu, F. & Ball, A., 15 Apr 2019, In : Energies. 12, 8, 23 p., 1438.

Research output: Contribution to journalArticle

Open Access
Bispectrum
Induction Motor
Induction motors
Performance Evaluation
Rotors

Correlation signal subset-based stochastic subspace identification for an online identification of railway vehicle suspension systems

Liu, F., Zhang, H., He, X., Zhao, Y., Gu, F. & Ball, A. D., 14 Mar 2019, In : Vehicle System Dynamics. 21 p.

Research output: Contribution to journalArticle

Vehicle suspensions
Monitoring
Nonlinear systems
Identification (control systems)
Wheels

Activities 2015 2015

  • 1 Oral presentation

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