Development of a RAMI Program for LANSCE upgrade Page: 3 of 4
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all the components that have subsystem designator of
PSR and function designator of water and summing
After listing all the components, availability data
of these components were collected. These
availability data are in the form of MTF (mean time
between failures) and MTR (mean time of repairs).
They are derived from experience and assessment of
designs. At this point, the assembly of the databas..
;s complete and predictions of availability of
subsystem can be made in conjunction with
assumptions made in the Availability Model.
The present Availability-Model database for the
beam-delivery system has a total of 385 components.
These are actually component types because similar
components are counted as one component. These
components are separated into nine subsystems.
Subsystem names are given in Table t. There are 14
function designators (Table 2).
The Availability Model can be benchmarked by
comparing its availability preiction with observed
availability for subsystems. The observed
availabilities of subsysteris are provided through
operation logs where operators record the times and
causes of component failures and repairs. Presently.,
the operators are recording the failed subsystem and
the failure mode in a specified format. The
subsystem and function designators have been chosen
to correlate with that format so that data can be easily
derived from the operator log to compare with the
Availability Model. Figure 1 shows the observed
distribution of time-between-failures for subsystems,
injector and Sector A during the operation in 1994.
These data were used to drive the availability, MTF,
and MTR for the subsystems.
N In ~ . ~t r- 0
eu o - e 01
TIME BETWEEN FAILURES
Fig. 1 Distribution of time-between failures
Table 1: List of subsystems
Table 2: List of functions
Tar, PSR Pulsed Power System has been studied
before using an Availability Model and is described
here as an example . The complete system was
divided into four subsystems: switchyard kicker
magnets (LDKIs), PSR injection linekicker magnet
(RIKI), the 2.8 MHz RF beam buncher (SRHM), and
the electromagnetic extraction kickers (SRFK). Table
3 snows the part of the database used for RIKI. The
availabilities predicted using the database for the
subsystems and complete system were compared to
observed availabilities from operato s logs (Table 4).
The Availability Model and the observed data can
identify the low-availability subsystem. A Root-
Cause Analysis is needed to identify the failure modes
so that improvements can be made. These
improvements include a better design, preventive
maintenance, and monitoring programs. Assuming
these improvements, new MTF and MTR data can be
generated and used in the Availability Model to
predict the improved availability. Examples of Root-
Cause Analysis can be found in Ref. .
Maintainability and inspectability will be
addressed with Maintenance Policy. Regular
monitoring and maintenance are needed to reduce
failure and downtime. In older facility like LAMPF,
a sustained replacement program is also needed for
equipment that has moving parts. Because of
budgetary constraints, the replacement program is not
in place yet. A conscious effort has ben made,
instead, to keep an inventory of spare parts of long-
downtime components. A record of these spare parts
will be incorporated in the Availability-Model
database. In the future, component maintainability,
monitoring, and inspectability will also be
incorporated ia the designs of components.
A RAMI Program is being developed to insure
that the upgrade of LANSCE will be done in a cost-
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Chan, K.C.D.; Hutson, R.L.; Macek, R.J.; Tallerico, P.J. & Wilkinson, C.A. Development of a RAMI Program for LANSCE upgrade, article, May 1, 1995; New Mexico. (digital.library.unt.edu/ark:/67531/metadc696100/m1/3/: accessed May 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.