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- W2481843239 abstract "1 * Abstract: Decision-making in complex systems such as nuclear power plants (NPPs) is a difficult task at best. The safety and integrity of many such high-capital cost-inten- sive installations depend on the operator's capability to correctly diagnose and take appropriate measures to avoid any abnormal operations of an NPP. Therefore, the role of the expert systems in the offline training programs for the operators is ever increasing. In this paper, we describe the development of an expert system, QNP_ SHELL, to assist, offline QNPP operators and plant personnel in a better familiariza- tion to infer the anticipated and foreseen malfunctions from the observed symptoms. QNP_SHELL's inferencing mechanism is of the Rule-based type and to search the knowledge base it adopts the Depth First technique. The diagnostic performance of the trainee operators using QNP_SHELL on various accidents at QNPP has been found, through both the qualitative and quantitative evaluations, satisfactory." @default.
- W2481843239 created "2016-08-23" @default.
- W2481843239 creator A5084804121 @default.
- W2481843239 date "2015-01-01" @default.
- W2481843239 modified "2023-09-23" @default.
- W2481843239 title "SYSTEMS & CONTROL | RESEARCH ARTICLE QNP_SHELL: A computerized tool for improving decision-making skills for nuclear power plant operators" @default.
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- W2481843239 hasPublicationYear "2015" @default.
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