Abstract
| Original language | English |
|---|---|
| Title of host publication | International Conference on Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies |
| Publisher | Curran Associates Inc. |
| Pages | 1399-1408 |
| ISBN (Print) | 978-1-5108-0809-6 |
| Publication status | Published - 2015 |
| MoE publication type | A4 Article in a conference publication |
| Event | 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC & HMIT - Charlotte, United States Duration: 22 Feb 2015 → 26 Feb 2015 |
Conference
| Conference | 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC & HMIT |
|---|---|
| Abbreviated title | NPIC & HMIT |
| Country | United States |
| City | Charlotte |
| Period | 22/02/15 → 26/02/15 |
Fingerprint
Keywords
- CBM
- RUL
- prognostics
- Big Data
Cite this
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Lifetime modeling of equipment at nuclear power plants. / Saarela, Olli; Hulsund, John Einar.
International Conference on Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies. Curran Associates Inc., 2015. p. 1399-1408.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Lifetime modeling of equipment at nuclear power plants
AU - Saarela, Olli
AU - Hulsund, John Einar
N1 - Project: 107787
PY - 2015
Y1 - 2015
N2 - One of the on-going projects at the OECD Halden Reactor Project (HRP) focuses on condition based maintenance at nuclear power plants and development of lifetime models for plant components and equipment. A methodology is being developed for systematic and cost-effective development of lifetime models. A key factor in this modelling is to find a suitable combination of data-driven and first principles based elements, so that the relative advantages of the approaches are balanced with cost to serve the goals of each application. This hybrid approach is especially beneficial when the phenomena to be studied involve multivariate non-linear effects, e.g., multiple simultaneously acting degrading factors amplifying each other's impacts. Hybrid modelling also alleviates sensitivity to the validity of assumptions made in modelling work, especially the assumption of the available data set being representative - an assumption that is difficult to avoid in purely data- driven modelling. This approach has been applied to several real world case studies. In these case studies the remaining lifetime was estimated for clogged water filters for heat exchangers, valve erosion and air filters. The methodology has been refined and further developed based on the lessons learnt from each case study. For example, in the air filter case, estimation accuracy was improved by modelling phenomena with different time scales (gradual accumulation of particles, sporadic aerosol emissions, and seasonal variability) separately and taking them into account in the remaining useful life (RUL) estimation.
AB - One of the on-going projects at the OECD Halden Reactor Project (HRP) focuses on condition based maintenance at nuclear power plants and development of lifetime models for plant components and equipment. A methodology is being developed for systematic and cost-effective development of lifetime models. A key factor in this modelling is to find a suitable combination of data-driven and first principles based elements, so that the relative advantages of the approaches are balanced with cost to serve the goals of each application. This hybrid approach is especially beneficial when the phenomena to be studied involve multivariate non-linear effects, e.g., multiple simultaneously acting degrading factors amplifying each other's impacts. Hybrid modelling also alleviates sensitivity to the validity of assumptions made in modelling work, especially the assumption of the available data set being representative - an assumption that is difficult to avoid in purely data- driven modelling. This approach has been applied to several real world case studies. In these case studies the remaining lifetime was estimated for clogged water filters for heat exchangers, valve erosion and air filters. The methodology has been refined and further developed based on the lessons learnt from each case study. For example, in the air filter case, estimation accuracy was improved by modelling phenomena with different time scales (gradual accumulation of particles, sporadic aerosol emissions, and seasonal variability) separately and taking them into account in the remaining useful life (RUL) estimation.
KW - CBM
KW - RUL
KW - prognostics
KW - Big Data
M3 - Conference article in proceedings
SN - 978-1-5108-0809-6
SP - 1399
EP - 1408
BT - International Conference on Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies
PB - Curran Associates Inc.
ER -