Distributions in Reliability Analysis

The fundamental type of distribution in reliability analysis is a lifetime distribution. This models the lifetime of a component or a system. Many lifetime distributions are related to extreme values, e.g. the system stops working when the first component breaks, as in a series connection, or the system stops working when the last component breaks, as in a parallel connection.

ReferenceReference

ExponentialDistribution constant failure rate distribution

GompertzMakehamDistribution exponential failure rate distribution

BirnbaumSaundersDistribution fatigue life distribution

BinomialDistribution ▪ GammaDistribution ▪ GeometricDistribution ▪ ErlangDistribution ▪ HypoexponentialDistribution ▪ HyperexponentialDistribution ▪ CoxianDistribution ▪ NormalDistribution ▪ LogNormalDistribution ▪ LogLogisticDistribution ▪ ParetoDistribution

Extreme Value Related Distributions

WeibullDistribution power failure rate distribution

GumbelDistribution ▪ FrechetDistribution ▪ ExtremeValueDistribution ▪ MinStableDistribution ▪ MaxStableDistribution

Derived Reliability Distributions »

MixtureDistribution component mixture distribution

CensoredDistribution one- or two-sided censoring

TruncatedDistribution ▪ TransformedDistribution ▪ ParameterMixtureDistribution

System Reliability Distributions »

ReliabilityDistribution reliability block diagram-based lifetime distribution

FailureDistribution fault tree-based lifetime distribution

StandbyDistribution cold, warm, etc. standby lifetime distribution

Reliability Distributions from Censored Data »

SurvivalDistribution reliability distribution from censored data

SurvivalModelFit reliability distribution from censored data with confidence intervals

CoxModelFit reliability distribution from censored data depending on covariates

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