Picture of model of urban architecture

Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

Implementation of a Bayesian linear regression framework for nuclear prognostics

Panni, Omer and West, Graeme and Catterson, Victoria and McArthur, Stephen and Shi, Dongfeng and Mogridge, Ieuan (2016) Implementation of a Bayesian linear regression framework for nuclear prognostics. In: Third European Conference of the Prognostics and Health Management Society 2016, 2016-07-05 - 2016-07-08. (In Press)

[img]
Preview
Text (Panni-etal-EPHM-2016-Implementation-of-a-Bayesian-linear-regression-framework)
Panni_etal_EPHM_2016_Implementation_of_a_Bayesian_linear_regression_framework.pdf
Accepted Author Manuscript

Download (1MB) | Preview

Abstract

Steam turbines are an important asset of nuclear power plants (NPPs), and are required to operate reliably and efficiently. Unplanned outages have a significant impact on the ability of the plant to generate electricity. Therefore, predictive and proactive maintenance which can avoid unplanned outages has the potential to reduce operating costs while increasing the reliability and availability of the plant. A case study from the data of an operational steam turbine of a NPP in the UK was used for the implementation of a Bayesian Linear Regression (BLR) framework. An appropriate model for the deterioration under study is selected. The BLR framework was applied as a prognostic technique in order to calculate the remaining useful life (RUL). Results show that the accuracy of the technique varies due to the nature of the data that is utilised to estimate the model parameters.