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For my masters dissertation I worked within the area of Evidence based health care, focussing on near patient testing of blood glucose measurements taken in primary care. A presentation of which was given at the Health Informatics Seminar, 1998, University of Huddersfield.
2000-2005 Consultant Statistician for the Centre for Evidence Based Health Care. A collaborative venture between the University of Huddersfield and Calderdale and Kirklees Health Authority.
2017 PhD (Engineering) in the area of Condition Monitoring under the supervision of Dr. F. Gu and Professor A. D. Ball.
Smith, A., Gu, F. and Ball, A. (2016) ‘Maintaining model efficiency, avoiding bias and reducing input parameter volume in compressor fault classification’. In: 2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE). : IEEE. pp. 196-201. ISBN 978-1467388290
Smith, A., Gu, F. and Ball, A. (2015) ‘"Selection of Input Parameters for Multivariate Classifiersin Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics"’ Applied Mechanics and Materials , 798, pp. 308-313. ISSN 1662-7482
Smith, A., Gu, F. and Ball, A. (2015) ‘Selection of Input Parameters for Multivariate Classifiers in Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics’. In: 6th International Conference on Mechanical and Aerospace Engineering, 16th - 17th July 2015, Rome, Italy
Abusaad, S., Benghozzi, A., Smith, A., Gu, F. and Ball, A. (2015) ‘The Detection of Shaft Misalignments using Motor Current Signals from a Sensorless Variable Speed Drive’. In: Vibration Engineering and Technology of Machinery. London: Springer. pp. 173-183. ISBN 978-3-319-09918-7
Ahmed, M., Smith, A., Gu, F. and Ball, A. (2014) ‘Fault Diagnosis of Reciprocating Compressors Using Revelance Vector Machines with A Genetic Algorithm Based on Vibration Data’. In: The 20th International Conference on Automation and Computing (ICAC'14), 12-13 September 2014, Cranfield University
Smith, A. and Gu, F. (2013) ‘Distributional considerations in inference based condition monitoring stages: detection, diagnosis and prognosis.’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2013 : CEARC'13. Huddersfield: University of Huddersfield. p. 238. ISBN 9781862181212
General project areas