Variable: EDGUncertaintyExample
constEDGUncertaintyExample:object
Defined in: packages/docs-md/.tmp/typedoc-sanitized/mef-types/lib/data-analysis/example-data-analysis.ts:46
Example of a detailed Uncertainty object for EDG failure rate
This example shows how to structure uncertainty information for data analysis parameters, including distribution parameters, risk implications, and correlations.
Type Declaration
correlations
readonlycorrelations: readonly [{correlationFactor:0.8;correlationType:"common_cause";description:"Common cause failure correlation between EDG A and B";parameterId:"DA-EDG-B-FR"; }]
distribution
readonlydistribution:"lognormal"="lognormal"
model_uncertainty_sources
readonlymodel_uncertainty_sources: readonly ["Limited operational data","Environmental factors not fully characterized"]
parameters
readonlyparameters:object
parameters.errorFactor
readonlyerrorFactor:3=3
parameters.mean
readonlymean:0.0012=1.2e-3
riskImplications
readonlyriskImplications:object
riskImplications.affectedMetrics
readonlyaffectedMetrics: readonly ["CDF","LERF"]
riskImplications.propagationNotes
readonlypropagationNotes:"Major impact on SBO sequences"="Major impact on SBO sequences"
riskImplications.significanceLevel
readonlysignificanceLevel:"high"="high"
Example
// Complete example of an uncertainty object for EDG failure rate
const edgUncertainty = {
correlations: [
{
correlationFactor: 0.8,
correlationType: "common_cause",
description: "Common cause failure correlation between EDG A and B",
parameterId: "DA-EDG-B-FR"
}
],
distribution: "lognormal",
model_uncertainty_sources: [
"Limited operational data",
"Environmental factors not fully characterized"
],
parameters: {
errorFactor: 3,
mean: 1.2e-3
},
riskImplications: {
affectedMetrics: ["CDF", "LERF"],
propagationNotes: "Major impact on SBO sequences",
significanceLevel: "high"
}
};