The pdf for the Inverse Power Law relationship and the lognormal distribution is given next.
The pdf of the lognormal distribution is given by:
(6)

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 median of the lognormal distribution is given by:
(7)
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The IPL-lognormal model pdf can be obtained first by setting
= L(V) in Eqn. (30). Therefore,

or

Thus,
(8)
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Substituting Eqn. (8) into Eqn. (6) yields the IPL- lognormal model pdf or,

IPL-Lognormal Statistical Properties Summary
The Mean
· The mean life of the IPL-lognormal model (mean of the times-to-failure),
, is given by:
(9)

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

The Standard Deviation
· The standard deviation of the IPL-lognormal model (standard deviation of the times-to-failure),
, is given by:
(10)

· 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 IPL-lognormal is given by:

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

or,

Reliable Life
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,
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where,
![]()
and,

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

Parameter Estimation
Maximum Likelihood Estimation Method
The complete IPL-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).
· K is the IPL parameter (unknown, the second of three parameters to be estimated).
· n is the second IPL 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, where (for FI = 0),

and,

See Also:
Inverse Power Law Relationship
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