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Last updated 10th October 2023
Biography
Fengshou Gu is one of our experts in the fields of vibro-acoustics analysis and machinery diagnosis, with over 30 years of research experience. He is the author of over 500 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, industrial cobots, hydraulic power systems, gearboxes, mechanical 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, machine learning algorithms and statistical analysis.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Expertise and Interests
- Machine modelling
- Diagnostics
- Vibro-impact modelling
- signal processing
- Machine Dynamics
- Tribology
- 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
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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An Active Acoustic Emission Method for EV Battery State of Heath Monitoring
Wang, Z. (PI) & Gu, F. (CoI)
1/04/23 → 30/06/23
Project: Research
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Adaptive multi-domain capacity estimation for battery energy storage system based on multi-scale random sequence feature fusion
Wang, Z., Zhao, X., Han, T., Zhu, Y., Gu, F. & Ball, A., 15 Mar 2025, In: Energy. 319, 16 p., 134997.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
A Fabry-Pérot Resonator based Metamaterial Structure for Acoustic Signal Enhancement in Machinery Condition Monitoring
Huang, S., Lin, Y., Shi, D., Deng, R., Huang, B., Gu, F. & Ball, A., 1 Feb 2025, In: Mechanical Systems and Signal Processing. 224, 21 p., 111986.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus) -
A Meta-Learning Method for Few-Shot Multidomain State-of-Health Estimation of Lithium-Ion Batteries
Zhao, X., Wang, Z., Han, T., Yang, W., Gu, F. & Ball, A. D., 3 Feb 2025, In: IEEE Transactions on Transportation Electrification. 11, 1, p. 4830-4840 11 p., 10699429.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus) -
A metamaterial beam with multi-piezoelectric patches (MB-MPP) for weak vibration enhancement in rotating machinery fault diagnostics
Mo, W., Lin, Y., Huang, S., Shi, D., Deng, R., Huang, B., Gu, F. & Ball, A., 1 Dec 2025, In: Measurement. 256, Part B, 16 p., 118183.Research output: Contribution to journal › Article › peer-review
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A metamaterials-augmented drone monitor for acoustics-based remote fault detection and diagnosis
Lin, Y., Huang, S., Deng, R., Wang, M., Zou, Z., Gu, F. & Ball, A. D., 1 Mar 2025, In: Mechanical Systems and Signal Processing. 226, 18 p., 112346.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus)
Activities
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Early fault detection of robotic joints based on time-frequency analysis of motor current signature
Lin, Y. (Speaker), Zou, Z. (Contributor to Paper or Presentation), Li, D. (Contributor to Paper or Presentation), Han, H. (Contributor to Paper or Presentation), Li, B. (Contributor to Paper or Presentation), Song, Y. (Contributor to Paper or Presentation), Lin, N. (Contributor to Paper or Presentation) & Gu, F. (Contributor to Paper or Presentation)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
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Residual-based fault detection of abnormal joint running state of industrial collaborative robot
Han, H. (Speaker), Huang, C. (Contributor to Paper or Presentation), Song, Y. (Contributor to Paper or Presentation), Li, D. (Contributor to Paper or Presentation), Faham, H. (Contributor to Paper or Presentation), Gu, F. (Contributor to Paper or Presentation) & Ball, A. (Contributor to Paper or Presentation)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
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Review of non-contact blade vibration monitoring based on blade tip timing
Wang, F. (Speaker), Fu, C. (Contributor to Paper or Presentation), Zheng, L. (Contributor to Paper or Presentation), Lu, K. (Contributor to Paper or Presentation) & Gu, F. (Contributor to Paper or Presentation)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
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The fault diagnosis strategy of rolling bearings using harmonic modulation bispectrum
Yang, M. (Speaker), Xu, Y. (Contributor to Paper or Presentation) & Gu, F. (Speaker)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
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A chainsaw-sound recognition model for detecting illegal logging activities in forests
Simiyu, D. (Speaker), Vikiru, A. (Contributor to Paper or Presentation), Muchiric, H. (Contributor to Paper or Presentation), Gu, F. (Contributor to Paper or Presentation) & Butime, J. (Contributor to Paper or Presentation)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
Press/Media
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Huddersfield joins Chinese university for engineering research network
10/06/19 → 11/06/19
7 items of Media coverage
Press/Media: Expert Comment
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Energy Harvesting from Shock Absorbers to Benefit Road and Rail
Ball, A., Gu, F., Wang, R. & Allen, P.
28/10/16 → 31/10/16
2 items of Media coverage
Press/Media: Expert Comment
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Researchers Perform Numerical Analysis of Complex Welding Technique
29/09/14
1 item of Media coverage
Press/Media: Expert Comment
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Researchers Team Up to Evaluate Friction Stir Welding in Modern Industry
29/09/14
1 item of Media coverage
Press/Media: Research
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