Online condition monitoring to enable extended operation of nuclear power plants

Ryan Michael Meyer, Leonard John Bond, Pradeep Ramuhalli

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

Safe, secure, and economic operation of nuclear power plants will remain of strategic signifi cance. New and improved monitoring will likely have increased signifi cance in the post-Fukushima world. Prior to Fukushima, many activities were already underway globally to facilitate operation of nuclear power plants beyond their initial licensing periods. Decisions to shut down a nuclear power plant are mostly driven by economic considerations. Online condition monitoring is a means to improve both the safety and economics of extending the operating lifetimes of nuclear power plants, enabling adoption of proactive aging management. With regard to active components (e.g., pumps, valves, motors, etc.), signifi cant experience in other industries has been leveraged to build the science base to support adoption of online condition-based maintenance and proactive aging management in the nuclear industry. Many of the research needs are associated with enabling proactive management of aging in passive components (e.g., pipes, vessels, cables, containment structures, etc.). This paper provides an overview of online condition monitoring for the nuclear power industry with an emphasis on passive components. Following the overview, several technology/knowledge gaps are identifi ed, which require addressing to facilitate widespread online condition monitoring of passive components.

Original languageEnglish
Title of host publicationProgress of Nuclear Safety for Symbiosis and Sustainability
Subtitle of host publicationAdvanced Digital Instrumentation, Control and Information Systems for Nuclear Power Plants
PublisherSpringer Japan
Pages161-176
Number of pages16
ISBN (Electronic)9784431546108
ISBN (Print)9784431546092
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Keywords

  • Condition monitoring
  • Diagnostics
  • Nondestructive evaluation
  • Online monitoring
  • Prognostics

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