Projects per year
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.
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.
| Original language | English |
|---|---|
| Number of pages | 9 |
| Publication status | Accepted/In press - 16 May 2016 |
| Event | Third European Conference of the Prognostics and Health Management Society 2016 - Bilbao, Spain Duration: 5 Jul 2016 → 8 Jul 2016 |
Conference
| Conference | Third European Conference of the Prognostics and Health Management Society 2016 |
|---|---|
| Country | Spain |
| City | Bilbao |
| Period | 5/07/16 → 8/07/16 |
Keywords
- asset management
- prognostics and health management
- Bayesian
- steam turbines
- nuclear
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Projects
- 1 Finished
Increasing Certainty of Diagnosis and Prognosis of Plant Health in the Nuclear Industry | Panni, Omer Ahmed Khan
West, G., Catterson, V., McArthur, S. & Panni, O. A. K.
EPSRC (Engineering and Physical Sciences Research Council)
1/11/12 → 1/11/16
Project: Research Studentship - Internally Allocated
Cite this
Panni, O., West, G., Catterson, V., McArthur, S., Shi, D., & Mogridge, I. (Accepted/In press). Implementation of a Bayesian linear regression framework for nuclear prognostics. Paper presented at Third European Conference of the Prognostics and Health Management Society 2016, Bilbao, Spain.