(10)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.
= 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 Eyring-lognormal model is given by:
(13)
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, tR is estimated by first solving the reliability equation with respect to time, as follows:
where:
and:
Since = ln (T) the reliable life, tR,
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:
and:
Fe is the number of groups of exact times-to-failure data points.
Ni is the number of times-to-failure data points in the ith 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).
Vi is the stress level of the ith group.
Ti is the exact failure time of the ith group.
S is the number of groups of suspension data points.
is the number of suspensions in the ith
group of suspension data points.
is the running time of the ith
suspension data group.
FIis the number of interval data groups.
is the number of intervals in the ith
group of data intervals.
is the beginning of the ith
interval.
is the ending of the ith
interval.
The solution (parameter estimates) will be found by solving for 
, 
,
so that 
= 0, 
= 0 and 
= 0:
and:
See Also:
Eyring Relationship
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