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Achieving quality through statistical prediction for building services systems

Loy, H., John, G., Clements-Croome, D., Fairey, V. and Neale, K. (2004) Achieving quality through statistical prediction for building services systems. Building Services Engineering Research and Technology, 25 (2). pp. 99-110. ISSN 0143-6244

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To link to this item DOI: 10.1191/0143624404bt082oa


The application of prediction theories has been widely practised for many years in many industries such as manufacturing, defence and aerospace. Although these theories are not new, their application has not been widely used within the building services industry. Collectively, the building services industry should take a deeper look at these approaches in comparison with the traditional deterministic approaches currently being practised. By extending the application into this industry, this paper seeks to provide the industry with an overview of how simplified stochastic modelling coupled with availability and reliability predictions using historical data compiled from various sources could enhance the quality of building services systems.

Item Type:Article
Divisions:Science > School of the Built Environment
ID Code:12280

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