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abcADM

Fit Accumulated Damage Models and Estimate Reliability using ABC

Estimate parameters of accumulated damage (load duration) models based on failure time data under a Bayesian framework, using Approximate Bayesian Computation (ABC). Assess long-term reliability under stochastic load profiles. Yang, Zidek, and Wong (2019) <doi:10.1080/00401706.2018.1512900>.

Functions (12)

abcMCMC

ABC-MCMC for load duration experiment data

catConstants

Display the current constants

constLoad_4500_1Y

Example data with τ_c = 4500 and t_c = 1Y (8760 hours)

default_param

Default θ

print_LoadProfile

Print the load profile parameters

sample_load_profile

Residential load profile

set_LoadProfile

Set load profile

set_returnPeriod

Set end time of reliability assessment

set_simuSampleSize

Set the number of simulated samples

set_timeStep

Set time step

simu_failTime

Simulate samples of failure time using parameters θ

solveCanADM

Simulate the time-to-failures given θ (posterior samples) under load profile

abcADM

Fit Accumulated Damage Models and Estimate Reliability using ABC

v1.0
GPL-3
Authors
Zongjun Liu [aut], Chun-Hao Yang [aut], John Burkardt [ctb], Samuel W.K. Wong [aut, cre]
Initial release

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