Measures of risk importance and their applications. [PWR; BWR]

Vesely, W.E.; Davis, Thomas J.; Denning, Richard; Saltos, N.

doi:10.2172/5786790

Cited by 68 publications

(35 citation statements)

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“…HRA is an important part of PRA, and considers such performance-shaping factors as stress level, crew resources, cues, and timing. Importance analysis is typically performed on the results of a PRA and provides a quantitative perspective on risk and sensitivity of risk to changes in input values (Vesely et al 1983). Three commonly encountered importance analyses are determination of risk achievement worth (RAW), risk reduction worth (RRW), and Fussell-Vesely (F-V).…”

Section: Probabilistic Risk Assessmentmentioning

confidence: 99%

Technical Report on Preliminary Methodology for Enhancing Risk Monitors with Integrated Equipment Condition Assessment

Ramuhalli¹,

Coles²,

Coble³

et al. 2013

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Executive SummaryAdvanced small modular reactors (AdvSMRs) may provide a longer-term alternative to traditional light-water reactors and SMRs based on integral pressurized water reactor concepts currently being considered. AdvSMRs are designed to incorporate multiple modules (which may or may not have shared components and structures) at a single location, comprising a full "plant." AdvSMR operation differs fundamentally from full-size plants because the smaller plants may be used for load-following or peakdemand power generation, instead of baseload generation. AdvSMRs are also being considered for dualuse, where process heat would be used for both electricity generation and another purpose such as hydrogen production or water desalination, shown in Figure Enhancing affordability of AdvSMRs will be critical to ensuring wider deployment. Although some of the loss of economies of scale inherent to AdvSMRs can be recovered, controllable day-to-day costs of AdvSMRs will be dominated by operation and maintenance (O&M) costs.Technologies that help characterize real-time risk are important to controlling O&M costs and improving affordability of AdvSMRs. Given the possibility of frequently changing plant configurations in AdvSMRs, advanced plant configuration information, equipment condition information, and risk monitors are needed to support real-time decisions on O&M. For this purpose, approaches are needed to integrate these three elements in a manner that provides a measure of risk that is customized for each AdvSMR unit, and accounts for the specific operational history of the unit. By integrating technologies for condition assessment with risk monitors, asset optimization and improved economics of AdvSMRs may be enabled by:• Maximizing generation by assessing the potential impact of taking key components offline for testing or maintenance, iv• Supporting reduced O&M staff by aiding in optimization of O&M planning (specifically by assessing the contribution of individual components to changes in risk and using this information for scheduling maintenance activities),• Enabling real-time decisions on stress-relief for risk-significant equipment susceptible to degradation and damage, and• Supporting potential remote siting by providing early warning of potential increases in plant risk.This report describes research results from an initial methodology for such enhanced risk monitors (ERMs) that integrate real-time information about equipment condition and probability of failure (POF) into risk monitors to provide an assessment of dynamic risk as plant equipment ages. This integration occurs at the level of the POF within risk monitors.Risk monitors extend probabilistic risk assessment (PRA) frameworks by incorporating the actual and dynamic plant configuration (e.g., equipment availability, operating regimes, and environmental conditions) into the risk assessment. PRA is itself a systematic safety analysis methodology that follows four steps: identify undesirable consequences (e.g., reactor unavailability, core da...

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Section: Probabilistic Risk Assessmentmentioning

confidence: 99%

Technical Report on Preliminary Methodology for Enhancing Risk Monitors with Integrated Equipment Condition Assessment

Ramuhalli¹,

Coles²,

Coble³

et al. 2013

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“…There are many methods to estimate importance measures to identify top significant events in a system [57][58][59][60]. In this study, we used three renowned importance measures as shown in Table 1.…”

Section: Importance Measure Matricesmentioning

confidence: 99%

Analysis of Loss of Control Parameters for Aircraft Maneuvering in General Aviation

Ud-Din

Yoon

2018

Journal of Advanced Transportation

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A rapid increase in the occurrence of loss of control in general aviation has raised concern in recent years. Loss of control (LOC) pertains to unique characteristics in which external and internal events act in conjunction. The Federal Aviation Administration (FAA) has approved an Integrated Safety Assessment Model (ISAM) for evaluating safety in the National Airspace System (NAS). ISAM consists of an event sequence diagram (ESD) with fault trees containing numerous parameters, which is recognized as casual risk model. In this paper, we outline an integrated risk assessment framework to model maneuvering through cross-examining external and internal events. The maneuvering is in the critical flight phase with a high number of LOC occurrences in general aviation, where highly trained and qualified pilots failed to maintain aircraft control irrespective of the preventive nature of the events. Various metrics have been presented for evaluating the significance of these parameters to identify the most important ones. The proposed sensitivity analysis considers the accident, fatality, and risk reduction frequencies that assist in the decisionmaking process and foresees future risks from a general aviation perspective.

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“…To represent the cloud information, a definition called cloud-obscuring time window (CTW) [19] is used. It refers to the time period that the target is obscured by clouds.…”

Section: Reliability Comparisonmentioning

confidence: 99%

An autonomous multi-sensor satellite system based on multi-agent blackboard model

He¹,

Li²,

Xing³

et al. 2017

EiN

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Measures of risk importance and their applications. [PWR; BWR]

Cited by 68 publications

References 0 publications

Technical Report on Preliminary Methodology for Enhancing Risk Monitors with Integrated Equipment Condition Assessment

Technical Report on Preliminary Methodology for Enhancing Risk Monitors with Integrated Equipment Condition Assessment

Analysis of Loss of Control Parameters for Aircraft Maneuvering in General Aviation

An autonomous multi-sensor satellite system based on multi-agent blackboard model

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