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The reliability. The R for RAMS

Today it is essential that the assets
of any company, organization or institution are reliable in order to compete in
an increasingly competitive market and hostile, where costs are the variable on many occasions,
most important for the success of the company. For this reason, it is
necessary to know and deepen around the elements related to the **R
RAMS, Reliability ( Reliability ).**

For this we define the concept
of **Reliability **as the ability to correctly execute a sustained
function over time. The **reliability **is related to
production, cost, human security and environmental
prevention. Monitoring **reliability **is very important to
efficiently manage any service or system.

Today's assets are
increasingly complex, for this reason it is essential to be able to assess and
calculate **reliability **from the design stage and thus maintain
technical specifications in the best operating conditions throughout the life
cycle.

Knowing the **reliability **of
an asset allows us to quantify its "quality of service". Knowing
the **reliability **requires information, however, it is a common
problem not having the operating data; Either because there is no
experience in the operation of a system or because in general the data is
deficient, scarce and in some cases non-existent. This situation makes it
very difficult to know the **reliability **since its calculation
is practically impossible.

In mathematical terms we will say
that reliability is the **probability **that an asset operate **without failure **for
a set period of **time **and under specific conditions.

It is necessary to understand that
the **reliability **will adopt values between zero (0) and one
(1). When **reliability **takes a value equal to zero (0), it
verifies the impossibility that this product is performing its function
correctly at that moment. On the other hand, when **reliability **assumes
a value equal to one (1), it is surely expected that this product will perform
its function properly.

Importantly , the

reliability (Ralso depends on the time (t), that is, varies with the course of the same . In addition, we must bear in mind that its value decreases over time. Thus, reliability models consist of probability functions, whose random variable is time and usually presents a downward curve, starting from its maximum value (1) when time is zero and vice versa.Reliability)

On the contrary, we highlight
the **Probability of Failure **or **Reliability
function **, as precisely the opposite meaning of the **Reliability **function . The
concept of **reliability **is defined as the probability of
occurrence of a **failure **in a time
interval.

If we know the real behavior of an
asset as a function of time, we can model **reliability **. Thanks
to the degree of technological advance in computer applications, it has
been facilitated to obtain practically real reliability data through
automatic computer modeling.

In practice, the two best known models are:

- First,
the
**Exponential Reliability Model**corresponds to the simplest**reliability model**and assumes a**constant failure rate**. It is usually accurate for electronic components and is generally accepted as the most widely used model to obtain a first approximation of the value of the reliability of any asset. - Second,
the
**Weibull Model**of**Reliability**is a more complete model that the**exponential model**because it takes into account a**variable rate of failure**. In data processing, it is more precise than the exponential model, because its parametric allows it to conform to different**failure**trends , working reasonably well without a large amount of data. Its versatility and ability to reflect circumstances related to the assets under analysis has given rise to what is known as "**Weibull Analysis**". However, we emphasize that it carries a greater mathematical load than the exponential model.

**Strategies for calculating
reliability**

There are a series of strategies and methodologies that allow us to perform an efficient reliability calculation.

First, **qualitative
methods **subjectively evaluate the characteristics of the system
related to its behavior. For example, the effect that the failure mode of
a particular element can have on a larger system.

Second, **quantitative
methods **evaluate the numerical characteristics of the system related
to the probability of occurrence.

The different techniques and most
outstanding methodologies are:

- The
**failure mode analysis, effects and criticalities (FMEA)**offers very detailed qualitative information from the system. - The
**Fault Tree Analysis (FTA)**provides a global view of the system by being based on a graphical representation with the failure models of all the components, as well as failures or combinations of failures that cause a failure in the system. - The Event Analysis (ETA).
**Markov**models .**Petri**nets**Monte Carlo**analysis

Finally, and for a better understanding of RAMS reliability, we invite you to browse our following publications:

- What is the RAMS reliability model of the Bathtub Curve?
- The most relevant RAMS parameters: MTBF, MTTR, MTTF
- What does it mean for a system to be fail safe or intrinsically safe?
- The 4 dimensions of failure according to the CENELEC EN 50126 standard

At Leedeo Engineering , we are specialists giving support to our clients at any level required for RAM and Safety tasks, and both at the level of infrastructure or on-board equipment. Do not hesitate to contact us >>

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