Reliability Engineering - Reliability Theory

Reliability Theory

Reliability is defined as the probability that a device will perform its intended function during a specified period of time under stated conditions. Mathematically, this may be expressed as,

,
where is the failure probability density function and is the length of the period of time (which is assumed to start from time zero).

There are a few key elements of this definition:

  1. Reliability is predicated on "intended function:" Generally, this is taken to mean operation without failure. However, even if no individual part of the system fails, but the system as a whole does not do what was intended, then it is still charged against the system reliability. The system requirements specification is the criterion against which reliability is measured.
  2. Reliability applies to a specified period of time. In practical terms, this means that a system has a specified chance that it will operate without failure before time . Reliability engineering ensures that components and materials will meet the requirements during the specified time. Units other than time may sometimes be used.
  3. Reliability is restricted to operation under stated (or explicitly defined) conditions. This constraint is necessary because it is impossible to design a system for unlimited conditions. A Mars Rover will have different specified conditions than a family car. The operating environment must be addressed during design and testing. Also, that same rover may be required to operate in varying conditions requiring additional scrutiny.

Read more about this topic:  Reliability Engineering

Famous quotes containing the word theory:

    The great tragedy of science—the slaying of a beautiful theory by an ugly fact.
    Thomas Henry Huxley (1825–1895)