Investigation of human performance in diagnosing unexpected events at nuclear power plants

Abstract

Diagnosing unexpected events at nuclear power plants is one of the main control room crew's most critical and challenging tasks. It is crucial to understand human performance in event diagnosis during emergencies to assess the risk of a power plant. This study examines the human performance of the crew diagnosing unexpected events at nuclear power plants. Collecting and analysing simulator data, we investigate the time taken for event diagnosis and the characteristics of diagnosis errors in various unplanned events. Analysis results such as event diagnosis time, unsafe act type, and the possibility of occurrence are expected to provide the proper technical basis for risk assessment or design improvement of the relevant nuclear power plant.

Keywords: Event eiagnosis, Human performance, Diagnosis Time, Unsafe Act, Simulator data

DOI: 10.54941/ahfe1004882