Maintenance Technology August 2017 - 21

RELIABILITY & MAINTENANCE

■ production
■ maintenance cost
■ quality.
Additional categories may be
used and the weighting adjusted for
the specific process under review.
Weighting uses a series of questions
with points associated with the severity
of impact.
Ranking asset criticality requires
data and expertise. The resulting
distribution can be sorted into
categories to determine the next level
of analysis and develop preventive- and
predictive-maintenance (PM and
PdM) programs. Criticality should also
be used to prioritize work and ensure
high-risk issues are addressed in time
to prevent failure.
3. Develop strategies. At this point,
strategies to detect and mitigate
impending failures can be developed.
Tools for doing so include Reliability
Centered Maintenance (RCM) and
Failure Modes and Effects Analysis
(FMEA). They ask structured questions
about the function of an asset, how it
might fail, the impact of failure, and
how to detect signs of failure. Since
RCM requires a team of subject-matter
experts and significant time, it should
focus on the critical group of assets
and systems. FMEA, which can be
conducted by one or two participants,
should focus on the essential group.
Templates can be used to create strategies for the monitor group. In applying
templates, it's crucial to understand the
context of an asset, given the fact the
same equipment in different locations
may not require the same strategy.
Note: Since the impact of their
failure isn't great, assets that fall into
a No Scheduled Maintenance group
won't require routine or continuous
monitoring.
4. Select PM/PdM condition-monitoring tools. Understanding failure
modes allows personnel to select the
appropriate tools for the job. Typically,
this selection is based on the warning
that a tool provides and the cost of
performing the task. The classic P-F
AUGUST 2017

(performance-failure) curve illustrates
the relative effectiveness of different
techniques. IIoT data allows sites to
combine indicators and move further
back up this curve to provide earlier
warnings of failure and, thus, allow
plant personnel more time to plan

repairs and procure replacements.
Once personnel know the data they
require from a site's network of instruments, analytics, and inspections,
they can generate alerts and warnings
to restore assets to good operating
condition. The more advanced warning

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MAINTENANCETECHNOLOGY.COM | 21
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Table of Contents for the Digital Edition of Maintenance Technology August 2017
