Hogar » Reliability Function (Survival Function)

Reliability Function (Survival Function)

1950

The reliability function, R(t), defines the probability that a system or component will perform its required function without failure for a specified time ‘t’. For systems with a constant failure rate (λ), it is described by the exponential distribution: [latex]R(t) = e^{-\lambda t}[/latex]. This function is fundamental to predicting the longevity and performance of a product.

The reliability function, also known as the survival function, is the complement of the cumulative distribution function (CDF) of failure, F(t). That is, [latex]R(t) = 1 – F(t)[/latex]. It provides a time-dependent measure of a system’s ability to remain operational. The function always starts at R(0) = 1 (100% probability of survival at time zero) and monotonically decreases towards 0 as time approaches infinity.

A key related concept is the failure rate, or hazard function, [latex]h(t)[/latex], which represents the instantaneous probability of failure at time t, given that the system has survived up to that time. The relationship is given by [latex]h(t) = f(t) / R(t)[/latex], where f(t) is the probability density function of failure. The reliability function can be derived from the hazard function as [latex]R(t) = e^{-\int_{0}^{t} h(\tau) d\tau}[/latex].

In the special but common case of the exponential distribution, the failure rate [latex]\lambda[/latex] is constant. This ‘memoryless’ property implies that the age of the component does not affect its likelihood of failing in the next instant. This model is often applied during the ‘useful life’ phase of a product’s lifecycle, after initial defects have been weeded out and before wear-out mechanisms dominate.

UNESCO Nomenclature: 1209
– Statistics

Tipo

Abstract System

Disruption

Foundational

Utilización

Widespread Use

Precursors

  • probability theory developed by Pascal and Fermat
  • actuarial life tables for calculating human mortality
  • work on statistical distributions by mathematicians like Poisson and Gauss
  • early quality control methods from the 1920s

Aplicaciones

  • calculating warranty periods for consumer electronics
  • scheduling preventative maintenance for industrial machinery
  • determining the probability of mission success for spacecraft
  • assessing the long-term performance of medical implants

Patentes:

ESO

Potential Innovations Ideas

Membresía obligatoria de Professionals (100% free)

Debes ser miembro de Professionals (100% free) para acceder a este contenido.

Únete ahora

¿Ya eres miembro? Accede aquí
Related to: reliability function, survival function, probability, failure rate, exponential distribution, R(t), hazard function, lifetime analysis

Deja una respuesta

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *

DISPONIBLE PARA NUEVOS RETOS
Ingeniero Mecánico, Gerente de Proyectos o de I+D
Desarrollo eficaz de productos

Disponible para un nuevo desafío a corto plazo.
Contáctame en LinkedIn
Integración de electrónica de plástico y metal, diseño a coste, GMP, ergonomía, dispositivos y consumibles de volumen medio a alto, industrias reguladas, CE y FDA, CAD, Solidworks, cinturón negro Lean Sigma, ISO 13485 médico

Estamos buscando un nuevo patrocinador

 

¿Su empresa o institución se dedica a la técnica, la ciencia o la investigación?
> Envíanos un mensaje <

Recibe todos los artículos nuevos
Gratuito, sin spam, correo electrónico no distribuido ni revendido.

o puedes obtener tu membresía completa -gratis- para acceder a todo el contenido restringido >aquí<

(if date is unknown or not relevant, e.g. "fluid mechanics", a rounded estimation of its notable emergence is provided)

Related Invention, Innovation & Technical Principles

Scroll al inicio

También te puede interesar