Predictive maintenance in nuclear power plants through online monitoring
The nuclear power industry is working to reduce generation costs by adopting conditionbased maintenance strategies and automating testing activities. These developments have stimulated great interest in online monitoring (OLM) technologies and new diagnostic and prognostic methods to anticipate,...
Saved in:
| Date: | 2013 |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Державне підприємство "Державний науково-технічний центр з ядерної та радіаційної безпеки" Держатомрегулювання України та НАН України
2013
|
| Series: | Ядерна та радіаційна безпека |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/97492 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Predictive maintenance in nuclear power plants through online monitoring / H.M. Hashemian // Ядерна та радіаційна безпека. — 2013. — № 4. — С. 42-50. — Бібліогр.: 10 назв. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Summary: | The nuclear power industry is working to reduce generation costs by adopting conditionbased
maintenance strategies and automating testing activities. These developments have
stimulated great interest in online monitoring (OLM) technologies and new diagnostic and
prognostic methods to anticipate, identify, and resolve equipment and process problems and
ensure plant safety, efficiency, and immunity to accidents. This paper provides examples of these
technologies with particular emphasis on a number of key OLM applications: detecting sensingline
blockages, testing the response time of pressure transmitters, monitoring the calibration of
pressure transmitters online, cross-calibrating temperature sensors in situ, assessing equipment
condition, and performing predictive maintenance of reactor internals. |
|---|