Maintworld 2/2018
The criticality spectrum // Align wind turbines safely // Pre-operational checklists reinvented // IoT brings maintenance rewards
The criticality spectrum // Align wind turbines safely // Pre-operational checklists reinvented // IoT brings maintenance rewards
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ASSET MANAGEMENT<br />
Insignificant Minor Moderate Major Extreme Likelihood Detectability<br />
0.5<br />
Equipment<br />
(EQR)<br />
Minimal damage<br />
to equipment. No<br />
effect on other<br />
equipment. Spare<br />
held on site.<br />
Moderate damage to<br />
equipment. Minimal<br />
damage to other<br />
equipment. Spare held<br />
in region.<br />
Major damage to<br />
equipment. Damage<br />
to other equipment.<br />
Spare available in<br />
1 day.<br />
Destruction<br />
of equipment.<br />
Destruction of other<br />
equipment. Spare not<br />
available in state.<br />
Rare < 1%<br />
Will only occur<br />
in exceptional circumstances<br />
in the<br />
next 12 months<br />
Confident > 90%<br />
Frequent testing with<br />
Condition Monitoring<br />
and are confident that<br />
faults will be detected<br />
9<br />
1<br />
People (HSR)<br />
Minor first aid.<br />
No medical<br />
treatment. Low<br />
level short term<br />
inconvenience or<br />
symptoms.<br />
Restricted work injury<br />
(RWI), occupational<br />
illness (OI) or medical<br />
treatment injury<br />
(MTI). Objective but<br />
reversible disability/<br />
impairment.<br />
Loss time injury<br />
(LTI). Moderate<br />
irreversible<br />
disability or<br />
impairment to one<br />
or more persons.<br />
Single or multiple serious<br />
injury. Severe irreversible<br />
disability or impairment.<br />
Single or multiple<br />
fatality.<br />
Unlikely 1-10%<br />
Possible, but not<br />
expected to occur<br />
in the next 12<br />
months<br />
Likely 51-90%<br />
CM in place, but not<br />
extremely confident<br />
that fault will be<br />
detected<br />
1<br />
0.9<br />
0.8<br />
1<br />
Environment<br />
(EVR)<br />
Production<br />
(PPR)<br />
Product<br />
Quality /<br />
Safety<br />
Negligible spillage<br />
or emissions<br />
(technical ENCR)<br />
Negligible plant<br />
downtime. Output<br />
targets affected<br />
but not missed.<br />
Net cost of issue<br />
$0.5m ≤ $2m USD<br />
Moderate product<br />
quality issue or mildly<br />
harmful food safety<br />
issue.<br />
Discharge to the<br />
environment<br />
outside of consent<br />
conditions (external<br />
ENCR rating Minor),<br />
prosecution not<br />
likely.<br />
Plant downtime ><br />
1 ≤ 2 days. Critical<br />
output target<br />
missed.<br />
Net cost of issue<br />
>$2m ≤ $5m USD<br />
Significant product<br />
quality issue or<br />
harmful food safety<br />
issue with potential<br />
consumer illness or<br />
discomfort.<br />
Discharge to the<br />
environment outside<br />
of consent conditions<br />
(external ENCR rating<br />
Moderate). Infringement<br />
fine likely, prosecution<br />
possible.<br />
Plant downtime > 2 ≤<br />
5 days. Several critical<br />
output targets missed.<br />
Net cost of issue<br />
> $5m ≤ $10m USD<br />
Highly harmful product<br />
safety issue with<br />
potential single consumer<br />
death or widespread<br />
illness.<br />
Major event,<br />
pollution of air or<br />
river, fish kill, public<br />
outcry, prosecution<br />
certain (external<br />
ENCR Major).<br />
Plant downtime<br />
> 5 days. Several<br />
critical output targets<br />
missed by significant<br />
margin.<br />
Net cost of issue<br />
>$10m USD<br />
Highly harmful food<br />
safety issue with<br />
potential multiple<br />
consumer deaths or<br />
widespread serious<br />
illness.<br />
Possible 10-50%<br />
Could possibly<br />
occur in the next<br />
12 months<br />
Likely 51-90%<br />
Will probably<br />
occur in the next<br />
12 months<br />
Certain > 90%<br />
Will almost<br />
inevitably occur<br />
int he next 12<br />
months<br />
Possible 10-50%<br />
Some CM, but due to<br />
test frequency and/<br />
or technology, not<br />
confident<br />
Unlikely 1-10%<br />
No CM, but local<br />
operators and<br />
inspectors may detect<br />
signs of failure<br />
No Warning < 1%<br />
No condition<br />
monitoring and no<br />
local operators and<br />
therefore no warning<br />
6<br />
21<br />
1<br />
Criticality ranking incorporating the consequence weighting and the assessment of likelihood and<br />
detectability on each consequence of failure<br />
FINAL CONSEQUENCE<br />
38<br />
Component criticality ranking<br />
Although it has not been clearly stated,<br />
thus far we have considered the asset as<br />
a combination of components: for example,<br />
a motor coupled to a gearbox which<br />
drives a pump. Now it is time to take the<br />
assets with the highest criticality ranking<br />
and split them up into individual components.<br />
It is quite likely that we will find<br />
that the motor has a much lower criticality<br />
ranking than the gearbox (assuming<br />
that it is expensive and will have a longer<br />
lead time), which may have a lower<br />
criticality ranking than the pump (if the<br />
failure of the pump could cause an explosion<br />
and harm to the environment).<br />
With this information we can better<br />
determine which spares to hold, how to<br />
prioritize maintenance, where to employ<br />
condition monitoring, and much more.<br />
RCM and FMECA<br />
Once we divide our analysis into individual<br />
components, we will identify<br />
the components that pose the greatest<br />
risk to the organization (and to the employees<br />
and customers). Now it is time<br />
to perform more detailed analysis of<br />
each individual failure mode, the consequence<br />
of each individual failure mode,<br />
10 maintworld 2/<strong>2018</strong><br />
and the likelihood of each failure mode.<br />
This is traditional reliability centered<br />
maintenance (or failure modes, effects,<br />
and criticality analysis), but at least we<br />
have performed that analysis only where<br />
it is warranted.<br />
Back to the criticality<br />
spectrum<br />
And thus, we have our criticality spectrum,<br />
with very basic system criticality<br />
analysis at one end, and RCM/FMECA at<br />
the other. Taking such an approach will<br />
ensure that the critical components are<br />
given the attention they require without<br />
having to perform detailed analysis on<br />
each and every component within the<br />
facility.<br />
Conclusion<br />
While the above sequence has described<br />
the transition process from a very basic<br />
criticality analysis to a highly detailed<br />
analysis based on criticality, when time is<br />
available, we can circle back and review<br />
the ranking provided to the least critical<br />
assets, just to make sure we did not miss<br />
anything. This is part of the continuous<br />
improvement process. We should review<br />
the criticality assigned to all assets as improvements<br />
are made to reliability, our<br />
ability to detect the onset of failure, and<br />
the perceived consequences of failure.<br />
The key is to determine the criticality<br />
with as much detail as possible and then<br />
use that information to prioritize and<br />
justify everything from the reliability improvement<br />
process to the maintenance<br />
work that is performed on a daily basis.<br />
The complete<br />
criticality spectrum.