The pdf for the Eyring relationship and the Weibull distribution is given next.
The pdf for 2-parameter Weibull distribution is given by:
(6)

The scale parameter (or characteristic life) of the Weibull distribution is
. The Eyring-Weibull model pdf can then be obtained by setting
= L(V) in Eqn. (1),

or,

Substituting for
into Eqn. (6),
Eyring Weibull Statistical Properties Summary
Mean or MTTF
The mean,
, or mean time to failure (MTTF) for the Eyring-Weibull relationship is given by:

where
is the gamma function evaluated at the value of
.
Median
The median,
for the Eyring-Weibull relationship is given by:
(7)

Mode
The mode,
for the Eyring-Weibull relationship is given by:
(8)

Standard Deviation
The standard deviation,
for the Eyring-Weibull relationship is given by:

Eyring-Weibull Reliability Function
The Eyring-Weibull reliability function is given by:

Conditional Reliability Function
The Eyring-Weibull conditional reliability function at a specified stress level is given by:

or,

Reliable Life
For the Eyring-Weibull relationship, the reliable life,
, of a unit for a specified reliability and starting the mission at age zero is given by:
(9)

Eyring-Weibull Failure Rate Function
The Eyring-Weibull failure rate function,
(T), is given by:

Parameter Estimation
Maximum Likelihood Estimation Method
The Eyring-Weibull log-likelihood function is composed of two summation portions,

where:
·
is the number of groups of exact times-to-failure data points.
·
is the number of times-to-failure data points in the
time-to-failure data group.
·
is the Weibull shape parameter (unknown, the first of three parameters to be estimated).
· A is the Eyring parameter (unknown, the second of three parameters to be estimated).
· B is the second Eyring parameter (unknown, the third of three parameters to be estimated).
·
is the stress level of the
group.
·
is the exact failure time of the
group.
· S is the number of groups of suspension data points.
·
is the number of suspensions in the
group of suspension data points.
·
is the running time of the
suspension data group.
The solution (parameter estimates) will be found by solving for the parameters
, A and B so that
= 0,
= 0 and
= 0 where,

Example
Consider the following times-to-failure data at three different stress levels.

The data set was analyzed jointly and with a complete MLE solution over the entire data set using ReliaSoft's ALTA yielding,
= 4.29186497,
= -11.08784624,
= 1454.08635742.
Once the parameters of the model are defined, other life measures can be directly obtained using the appropriate equations. For example, the MTTF can be obtained for the use stress level of 323K using,

or,
See Also:
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