Predictive maintenance in nuclear power plants through online monitoring | Zendy

H.M. Hashemian | Zendy

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Predictive maintenance in nuclear power plants through online monitoring

Author(s) -

H.M. Hashemian

Publication year - 2013

Publication title -

nuclear and radiation safety

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.221

H-Index - 5

ISSN - 2073-6231

DOI - 10.32918/nrs.2013.4(60).08

Subject(s) - predictive maintenance , nuclear power , reliability engineering , process (computing) , key (lock) , systems engineering , condition monitoring , calibration , computer science , engineering , risk analysis (engineering) , electrical engineering , computer security , business , mathematics , biology , operating system , ecology , statistics

The nuclear power industry is working to reduce generation costs by adopting condition-based 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 sensing-line 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.

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