Linguistic Assessment Approach for Hierarchical Safety Analysis and Synthesis

Author(s):  
Jun Liu ◽  
Luis Martínez López ◽  
Jian-Bo Yang ◽  
Jin Wang
2000 ◽  
Author(s):  
Garill Coles ◽  
Sam McKay ◽  
Jon Young ◽  
Yuri Skok

Abstract Engineering assessment that supports the safety basis for a reactor plant operating license is defined as: “An assessment of a system to determine its adequacy to successfully perform its safety-related function(s) when required.” The approach to engineering assessment of systems at the Leningrad Nuclear Power Plant (LNPP), as part of its in-depth safety assessment (ISA), is unique. The content and format of engineering assessments for western Safety Analysis Reports (SARs) have evolved over time and current requirements are somewhat scattered in the governing documents (USNRC, 1978). Many regulatory guides and requirements (western or eastern) have not kept up with changes in safety analysis technology. Performance of the ISA for LNPP affords the opportunity to rethink the approach to engineering assessments, and to incorporate current methods and latest technology in safety analysis. As an example, for many systems, information about system reliability obtained from a modem Probabilistic Safety Assessment is more comprehensive than that from a Single Failure Analysis as prescribed in SAR content and format guides. Overall, the engineering assessment of LNPP systems looks at five major assessment elements: 1) assessment of regulatory compliance, 2) assessment of operability, 3) assessment of vulnerability, 4) assessment of environmental qualifications, and 5) assessment of reliability. By reorganizing the approach to meeting regulatory requirements, and by looking at engineering assessment in various ways, information can be obtained that goes beyond simply demonstrating regulatory compliance to more fully supporting the safety basis for a plant operating license.


1995 ◽  
Vol 11 (3) ◽  
pp. 203-212 ◽  
Author(s):  
Frank C. Verhulst

In this article, recent developments in the assessment and diagnosis of child psychopathology are discussed with an emphasis on standardized methodologies that provide data that can be scored on empirically derived groupings of problems that tend to co-occur. Assessment methodologies are highlighted that especially take account of the following three basic characteristics of child psychopathology: (1) the quantitative nature of child psychopathology; (2) the role of developmental differences in the occurrence of problem behaviors, and (3) the need for multiple informants. Cross-cultural research is needed to test the applicability of assessment procedures across different settings as well as the generalizability of taxonomic constructs. Assessments of children in different cultures can be compared or pooled to arrive at a multicultural knowledge base which may be much stronger than knowledge based on only one culture. It is essential to avoid assuming that data from any single source reveal the significance of particular problems. Instead, comprehensive assessment of psychopathology requires coordination of multisource data using a multiaxial assessment approach.


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