Research Output per year
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.
- 3 Similar Profiles
Bearings (structural)
Engineering & Materials Science
Condition monitoring
Engineering & Materials Science
Failure analysis
Engineering & Materials Science
Fault detection
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Engines
Engineering & Materials Science
Reciprocating compressors
Engineering & Materials Science
Signal analysis
Engineering & Materials Science
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 journal › Article
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 journal › Article
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 journal › Article
Open Access
Internal Combustion Engine
Acoustic Emission
Lubrication
Acoustic emissions
Internal combustion engines
Exploiting Bayesian networks for fault isolation: A diagnostic case study of diesel fuel injection system
Wang, J., Wang, Z., Stetsyuk, V., Ma, X., Gu, F. & Li, W., Mar 2019, In : ISA Transactions. 86, p. 276-286 11 p.Research output: Contribution to journal › Article
Fault Isolation
diesel fuels
fuel injection
Fuel injection
Bayesian networks
Extraction of the largest amplitude impact transients for diagnosing rolling element defects in bearings
Hu, L., Zhang, L., Gu, F., Hu, N. & Ball, A., 1 Feb 2019, In : Mechanical Systems and Signal Processing. 116, p. 796-815 20 p.Research output: Contribution to journal › Article
Bearings (structural)
Defects
Tachometers
White noise
Demodulation
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 types › Oral presentation