Portrait of Dr Ann Smith Dr Ann Smith

a.smith@hud.ac.uk | 01484 472442



Biography

  • 1983 Graduated from the University of Hull with a degree in Mathematics.
  • 1991 Returned to higher education studying a PGCE in Further Education at Huddersfield University. Successfully completed and- awardedJuly 1992.  Teaching experience was gained at Kirklees College and Universitat Greissfault, Neubrandenburg, Germany. In September 1992  I began lecturing within the School of Mathematics and Computing at the University of Huddersfield. Lecturing in theoretical and applied Mathematics and Statistics to a wide range of students across the University.
  • Having an increasing interest in statistics and, in particular its uses and applications, I completed the MSc (Applied Statistics) with Sheffield Hallam University (1994 to 1997) as a ‘distance learning student’. Completion of which led to the many exciting collaborative works I’ve been involved in with Calderdale and Kirklees Health Authority and more recently in the School of Engineering.
  • 2017 awarded Doctor of Philosophy (Engineering) from the University of Huddersfield in recognition of a programme of work entitled ‘Characterisation of condition monitoring information for diagnosis and prognosis using advanced statistical models’. Outside the University I am a member of Holmfirth Harriers Athletics Club and Colne Valley Singers.

Research and Scholarship

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.

Publications and Other Research Outputs

2016

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

2015

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

2014

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

2013

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

Esteem

  • 1994 – 2011 Manager of the Summer Mathematics Bridging Course. A highly successful program originating in the old school of Mathematics and Computing which I developed University wide funded through Research and Development.
  • Committed to teaching and professional development I became a Fellow of the Higher Education Academy in 2011.
  • Member of the North East Mathematics Network.
  • Course Leader MEng/ BEng (Energy Engineering).
  • Year Tutor MEng/BEng (Mechanical and Automotive Engineering).
  • Mathematics for MEng/ BEng Mechanical,MEng/ BEng Electrical and MEng/ BEng Chemical Engineering.
  • PhD (Engineering) in the area of Condition Monitoring
  • Predictive Analytics, Condition and Performance Monitoring Research Group.
  • BSc (Hons) Mathematics development officer.
  • School of Computing and Engineering Equality and Diversity representative.

Research Degree Supervision

General project areas

  • Condition Monitoring-statistical analysis of mechanical systems using vibration signal outputs. Fault detection in reciprocating compressors.
  • Modelling System Behaviours.
  • Input Volume Reduction Methodologies for Predictive Classifiers.
  • Predictive Analytics for Applied Process Monitoring.
  • Non-linear Systems Approaches to Detection of Deviant Events.
  • Autonomous Abnormality Assessment.
  • Evidence based health care.
  • Please contact this member of staff to discuss possible opportunities.