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V.T. Tran (Van Tung)

Expertises

Failure Analysis
Rotating Machinery
Induction Motors
Fuzzy Inference
Support Vector Machines
Degradation
Discriminant Analysis
Hazards
Hot Temperature
Reciprocating Compressors
Bayesian Networks

Publicaties

Recent
Tran, V. T., Thobiani, F. A., Tinga, T., Ball, A. D., & Niu, G. (2017). Single and combined fault diagnosis of reciprocating compressor valves using a hybrid deep belief network. Proceedings of the Institution of Mechanical Engineers. Part C: Journal of mechanical engineering science. DOI: 10.1177/0954406217740929
Niu, G., Zhao, Y., & Tran, V. T. (2014). Fault detection and isolation based on bond graph modeling and empirical residual evaluation. Proceedings of the Institution of Mechanical Engineers. Part C: Journal of mechanical engineering science, 229(3), 417-428. DOI: 10.1177/0954406214536381
Baqqar, M., Tran, V. T., Gu, F., & Ball, A. D. (2013). Comparison between adaptive neurofuzzy inference system and general regression neural networks for gearbox fault detection using motor operating parameters. In Proceedings of Computing and Engineering Annual Researchers' Conference 2013: CEARC'13, University of Huddersfield, Huddersfield (pp. 118‐126)
Baqqar, M., Tran, V. T., Gu, F., & Ball, A. D. (2013). Gearbox fault detection using static data and adaptive neurofuzzy inference system. In COMADEM 2013 proceedings
Elbarghathi, F., Tian, X., Tran, V. T., Gu, F., & Ball, A. (2013). Multi-stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference. Paper presented at International Congress of Condition Monitoring and Diagnostic Engineering Management, COMADEM 2013, Helsinki, Finland.
Wang, R., Tran, V. T., Gu, F., & Ball, A. D. (2013). An investigation on energy recovery analysis of active suspension system. In ICAC 2013: 19th International Conference on Automation and Computing, 13-14 September 2013, Brunel University, London, UK IEEE.

Contactgegevens

Bezoekadres

Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

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Postadres

Universiteit Twente
Postbus 217
7500 AE Enschede