.. _sphx_glr_auto_reliability_sensitivity_reliability:
.. _Reliability:
Reliability
-----------
.. raw:: html
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_lhs_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_lhs.py`
.. raw:: html
Estimate a probability with Latin Hypercube Sampling
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_event_manipulation_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_manipulation.py`
.. raw:: html
Simulate an Event
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_monte_carlo_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_monte_carlo.py`
.. raw:: html
Estimate a probability with Monte Carlo
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_randomized_qmc_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_randomized_qmc.py`
.. raw:: html
Use a randomized QMC algorithm
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_adaptive_directional_sampling_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_adaptive_directional_sampling.py`
.. raw:: html
Use the Adaptive Directional Stratification Algorithm
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_post_analytical_importance_sampling_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_post_analytical_importance_sampling.py`
.. raw:: html
Use the post-analytical importance sampling algorithm
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_directional_sampling_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_directional_sampling.py`
.. raw:: html
Use the Directional Sampling Algorithm
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_flood_model_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_flood_model.py`
.. raw:: html
Estimate a flooding probability
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probability_simulation_parametrization_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_parametrization.py`
.. raw:: html
Specify a simulation algorithm
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_importance_sampling_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_importance_sampling.py`
.. raw:: html
Use the Importance Sampling algorithm
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_create_threshold_event_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_threshold_event.py`
.. raw:: html
Create a threshold event
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_axial_stressed_beam_quickstart_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam_quickstart.py`
.. raw:: html
Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probability_simulation_results_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_results.py`
.. raw:: html
Exploitation of simulation algorithm results
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_multi_form_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_multi_form.py`
.. raw:: html
Use the FORM algorithm in case of several design points
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_nais_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_nais.py`
.. raw:: html
Non parametric Adaptive Importance Sampling (NAIS)
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_subset_sampling_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_subset_sampling.py`
.. raw:: html
Subset Sampling
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_form_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form.py`
.. raw:: html
Use the FORM - SORM algorithms
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_create_domain_event_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_domain_event.py`
.. raw:: html
Create a domain event
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_strong_maximum_test_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_strong_maximum_test.py`
.. raw:: html
Test the design point with the Strong Maximum Test
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_proba_system_event_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_proba_system_event.py`
.. raw:: html
Time variant system reliability problem
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_axial_stressed_beam_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam.py`
.. raw:: html
Axial stressed beam : comparing different methods to estimate a probability
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_event_system_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_system.py`
.. raw:: html
Create unions or intersections of events
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_form_explained_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_form_explained.py`
.. raw:: html
An illustrated example of a FORM probability estimate
.. raw:: html
.. only:: html
.. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_crossentropy_thumb.png
:alt:
:ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_crossentropy.py`
.. raw:: html
Cross Entropy Importance Sampling
.. raw:: html
.. toctree::
:hidden:
/auto_reliability_sensitivity/reliability/plot_estimate_probability_lhs
/auto_reliability_sensitivity/reliability/plot_event_manipulation
/auto_reliability_sensitivity/reliability/plot_estimate_probability_monte_carlo
/auto_reliability_sensitivity/reliability/plot_estimate_probability_randomized_qmc
/auto_reliability_sensitivity/reliability/plot_estimate_probability_adaptive_directional_sampling
/auto_reliability_sensitivity/reliability/plot_post_analytical_importance_sampling
/auto_reliability_sensitivity/reliability/plot_estimate_probability_directional_sampling
/auto_reliability_sensitivity/reliability/plot_flood_model
/auto_reliability_sensitivity/reliability/plot_probability_simulation_parametrization
/auto_reliability_sensitivity/reliability/plot_estimate_probability_importance_sampling
/auto_reliability_sensitivity/reliability/plot_create_threshold_event
/auto_reliability_sensitivity/reliability/plot_axial_stressed_beam_quickstart
/auto_reliability_sensitivity/reliability/plot_probability_simulation_results
/auto_reliability_sensitivity/reliability/plot_multi_form
/auto_reliability_sensitivity/reliability/plot_nais
/auto_reliability_sensitivity/reliability/plot_subset_sampling
/auto_reliability_sensitivity/reliability/plot_estimate_probability_form
/auto_reliability_sensitivity/reliability/plot_create_domain_event
/auto_reliability_sensitivity/reliability/plot_strong_maximum_test
/auto_reliability_sensitivity/reliability/plot_proba_system_event
/auto_reliability_sensitivity/reliability/plot_axial_stressed_beam
/auto_reliability_sensitivity/reliability/plot_event_system
/auto_reliability_sensitivity/reliability/plot_form_explained
/auto_reliability_sensitivity/reliability/plot_crossentropy