Dr Wenjuan Zhang
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Wenjuan Zhang is a research fellow working within the RISCU group. Her main research interests are in reliability and maintenance in general and condition based maintenance in particular, with special interests in life time modelling, and stochastic modelling of maintenance problems. She also has a developing interest in medical research, with special interets in survival analysis and meta-analysis. Proportional hazards and accelerated life models are particular focuses in her research in survival analysis. She is also interested in load forecasting. Her involvements in recent consultancy projects include contracts with Metronet, Unilever, National Grid, First Utility and LSC. Contact Details Risk Initiative & Statistical Consultancy Unit (RISCU) Email: Wenjuan dot Zhang at warwick dot ac dot uk Tel: 44 (0)24 7657 4856 Selection of projects Metronet: The use of Bayesian method in modelling assets degradation, dimensions and cost uncertainty. Unilever: Functional data analysis for homecare product stability prediction First utility: Developing a profit optimisation model through load forecasting. Publications 1. W Wang and W Zhang, 2008, Early defect identification: application of statistical process control methods, Journal of Quality in Maintenance Engineering, Vol 14, 225-236. 2. W Wang and W Zhang, 2007, An asset residual life prediction model based on expert judgements, European Journal of Operational Research, Vol3, 170-177. 3. S Paneesha, W Zhang, N Parsons, P Kesteven, H Marr, A Borg and P Rose, 2007, 'Which patients with venous thrombosis do not require screening for malignancy? A predictive model to identify patients with VTE at minimal risk of malignancy', British Journal of Haematology, 137 54-54 (0007-1048) 4. S Paneesha, W Zhang, N Parsons, K French, E Cheyne, S Bacchu, A Borg and P Rose, 2006, A predictive model to identify patients with venous thromboembolism (VTE) at minimal risk of malignancy, Blood 108 1500 - 1500 (0006-4971). 5. W Wang and W Zhang, 2005, A model to predict the residual life of aircraft engines based upon oil analysis data, Naval Research Logistics, Vol 52, 76-284.
Conferences: 1. W Zhang, 2008, The use of Neural Networks in Load Forecasting on UK national grid data, The 28th International Symposium on Forecasting. 2. S Paneesha, W Zhang, N Parsons, K French, E Cheyne, S Bacchu, A Borg & P Rose, 2006, A predictive model to identify patients with venous thromoembolism (VTE) at minimal risk of malignancy, American society of haematology annual meeting. 3. W Wang and W Zhang, 2002, A model to predict equipment residual life based upon oil ananlysis data, Proceedings of COMADEM 2002, 538-545. 4. W Wang and W Zhang, 2001, Plant residual time distribution prediction using expert judgements based on condition monitoring information, proceedings of COMADEM 2001, Eds. A Starr and Raj B K N Rao, Elsevier, 899-908. In preparation: 1. T Pawlikowska and W Zhang, An observational study of verbal and non-verbal interaction in health care consultations: what underpins patient enablement? Useful links: The OR Society, Royal Statistical Socity (RSS) International Institute of Forecasters, The Institute of Mathematics and its Applications (IMA) |
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