Reliability_engineering

# Reliability engineering Reliability engineering ensures that systems perform their intended functions without failure for a specified period under stated conditions. Probabilistic prediction, physics-of-failure, redundancy, FMEA, maintainability, and life-cycle testing integrate with [[Systems_engineering|systems engineering]] to maximize availability and safety.  ## Microsims (promoted from legacy — three.js first) ### MicroSim spec ### Parameters (tunable controls) - `Failure rate lambda` · 0.001–0.5 · per-unit-time hazard of each component - `Components N` · 1–20 · number of components in the system - `Architecture` · 0–1 · slider between series (0) and parallel (1) layout ### What animates A reliability-vs-time curve and a series/parallel block layout update with the controls. ### Learning objective Relate component failure rates and [[Architecture|architecture]] to overall system reliability. ### MicroSim spec - **Recommended sim type:** reliability-block / hazard - **Microsimmability score:** 92/100 - **Layout:** drawing region (canvas) on top; control region (sliders/buttons) below. ### Parameters (tunable controls) - `Component failure rate` - `Redundancy (n)` - `Mission time` ### What animates A reliability-[[Block_diagram|block diagram]] ages over the mission time; survival probability and MTBF update as failure rate and redundancy change. ### Learning objective Relate system reliability to component failure rate and redundancy.   ## Microsims — three.js ### Reliability engineering (three.js) <div class="microsim-player"> <iframe src="https://wikitube-3d-microsims.netlify.app/Reliability_engineering.html" width="100%" height="620" frameborder="0" loading="lazy" sandbox="allow-scripts allow-same-origin" title="Reliability engineering — three.js microsim"></iframe> </div> **Open it full-screen:** [Reliability_engineering.html](https://wikitube-3d-microsims.netlify.app/Reliability_engineering.html) · library `threejs` · route `microsim/threejs/` ### Related microsims Live sims on neighbouring articles — 6 of them inside this article's own Wikipedia link tree: - [[Failure_mode_and_effects_analysis]] *(in tree)* - [[Mathematical_optimization]] *(in tree)* - [[Queueing_theory]] *(in tree)* - [[Stanford_torus]] *(in tree)* - [[Structural_engineering]] *(in tree)* - [[Tribology]] *(in tree)* *Sim hosted off-article; the article owns the reference, not the runtime (WIKI_RULES §10.4). Placed by `g08_place_microsims.py`.*   ## Images <figure class="wt-gifplate"> <img src="https://commons.wikimedia.org/wiki/Special:FilePath/Pendulum_animation.gif" alt="System Stability" loading="lazy" decoding="async"> <figcaption><strong>System Stability</strong> — Show sustained oscillation indicating system stability.<br> <span class="wt-credit">Wikimedia Commons · <strong>licence pending verification</strong> (run <code>g17_gif_verify.py</code> on a networked lane) · <a href="https://commons.wikimedia.org/wiki/File:Pendulum_animation.gif">Details</a></span></figcaption> </figure> *The hub concept of [[PORTAL_Reliability_engineering]], and this page has no interactive build yet — the plate carries it.*  ## Reveal %%REVEAL:mermaid%% %%REVEAL:svg%% --- *Concept aligned with [Wikipedia](https://en.wikipedia.org/wiki/Reliability_engineering); adapted text, where present, is licensed [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).* ## Overview The discipline turns [[Statistics|statistics]] into dependability: failure-time distributions, accelerated life tests, and redundancy allocation via [[Mathematical_optimization|mathematical optimization]], with the [[Monte_Carlo_method|Monte Carlo method]] simulating what testing cannot reach and the [[Information_system|information system]] logging every field return as [[Time_series|time-series]] evidence. Deductive risk logic arrives through [[Fault_tree_analysis|fault tree analysis]]; feedback thinking through [[Cybernetics|cybernetics]], [[Control_theory|control theory]], and the [[Negative_feedback|negative]]/[[Positive_feedback|positive feedback]] loops of degradation and repair. As part of the wider [[Systems_science|systems-science]] family — [[Systems_theory|systems theory]], [[Systems_thinking|systems thinking]], [[System_dynamics|system dynamics]], [[Operations_research|operations research]] — reliability treats every product as a [[System|system]] embedded in a [[Complex_system|complex]] operating environment, engineered so the whole outlives the weakness of its parts. ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Reliability_engineering) : [Wikitube](https://en.wikitube.io/wiki/Reliability_engineering) ## Previous hub tags Hubs: `Systems`. Portals: [[PORTAL_Systems]], [[PORTAL_Reliability_engineering]].