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Fault Tree Analysis for an Inspection Robot in a Nuclear Power Plant

Thomas A. Ferguson, Lixuan Lu

Year
2017
Citations
13
Access
Open access

Abstract

The life extension of current nuclear reactors has led to an increasing demand on inspection and maintenance of critical reactor components that are too expensive to replace. To reduce the exposure dosage to workers, robotics have become an attractive alternative as a preventative safety tool in nuclear power plants. It is crucial to understand the reliability of these robots in order to increase the veracity and confidence of their results. This study presents the Fault Tree (FT) analysis to a coolant outlet piper snake-arm inspection robot in a nuclear power plant. Fault trees were constructed for a qualitative analysis to determine the reliability of the robot. Insight on the applicability of fault tree methods for inspection robotics in the nuclear industry is gained through this investigation.

Keywords

Fault tree analysisNuclear power plantRobotReliability engineeringReliability (semiconductor)Nuclear powerRoboticsArtificial intelligenceComputer scienceEngineering

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