The pdf for the Eyring relationship and the lognormal distribution is given next.
The pdf of the lognormal distribution is given by:
(10)

where,
·
= ln (T),
· T = times-to-failure,
and,
·
= mean of the natural logarithms of the times-to-failure,
·
= standard deviation of the natural logarithms of the times-to-failure.
The Eyring-lognormal model pdf can be obtained first by setting
= L(V) in Eqn. (1).Therefore,

or,

Thus,
(11)

Substituting Eqn. (11) into Eqn. (10) yields the Eyring-lognormal model pdf or,

Eyring-Lognormal Statistical Properties Summary
The Mean
· The mean life of the Eyring-lognormal model (mean of the times-to-failure),
, is given by:
(12)

· The mean of the natural logarithms of the times-to-failure,
, in terms of
and
is given by:

The Median
· The median of the lognormal distribution is given by:
(13)
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The Standard Deviation
· The standard deviation of the Eyring-lognormal model (standard deviation of the times-to-failure),
, is given by:
(14)

· The standard deviation of the natural logarithms of the times-to-failure,
, in terms of
and
is given by:

The Mode
· The mode of the Eyring-lognormal model is given by:

Eyring-Lognormal Reliability Function
The reliability for a mission of time T, starting at age 0, for the Eyring-lognormal model is determined by:

or,

There is no closed form solution for the lognormal reliability function. Solutions can be obtained via the use of standard normal tables. Since the application automatically solves for the reliability we will not discuss manual solution methods.
Reliable Life
For the Eyring-lognormal model, the reliable life or the mission duration for a desired reliability goal,
is estimated by first solving the reliability equation with respect to time, as follows,

where,
![]()
and,

Since
= ln (T) the reliable life,
, is given by:
![]()
Eyring-Lognormal Failure Rate
The Eyring-lognormal failure rate is given by:

Parameter Estimation
Maximum Likelihood Estimation Method
The complete Eyring-lognormal 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 standard deviation of the natural logarithm of the times-to-failure (unknown, the first of three parameters to be estimated).
· A is the Eyring parameter (unknown, the second of three parameters to be estimated).
· C 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
,
,
so that
= 0,
= 0 and
= 0,

and,

See Also:
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