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Mechanical Technology — May 2015

13

Proactive maintenance, lubrication and contamination management

definition of predictive maintenance is

understood to include all forms of condi-

tion assessment or condition monitoring

that is conducted with the asset

in situ

in the assembled state.

A condition assessment is a ‘snapshot’

of asset condition determined at a single

point in time. Condition monitoring in-

volves either continuous on-line or regular

trending of periodic assessments. In

predictive maintenance, the insight into

asset condition may be used to trigger

an intervention, but this is not a given

because, in many circumstances, run-

to-failure is a good option. The predictive

maintenance benefit is that there is no

longer an unplanned outage – unless the

prediction is ignored!

A degree of maturity must first be

achieved to bring the concept of pre-

dictive maintenance into reality, for its

acceptance and practical application

to the benefit of the organisation. Only

then can the question of which assets to

consider for predictive maintenance be

properly answered. This should not be

surprising, as there is a necessary period

of learning required. Not only in how to

use the technology, but also in the nature

and extent of knowledge obtained that

was hitherto unseen and unavailable. It

takes time to build confidence in this new

business tool. It is quite normal to have

initial responses such as: “I don’t know

if I can believe there really is something

wrong with my machine, so why take

it down? I will wait and see. If it fails

I will believe it next time”. Acceptance

takes time.

The danger is that this period of learn-

ing and confidence building can become

extended. When the smart young guy

with the fancy gadget is proven correct,

the old hands often feel threatened

and defensive instead of embracing

it as an aid to better business. In the

meantime, the predictive maintenance

team becomes somewhat alienated and

protective of their new-found skill. So

silo building begins. There is a natural

tendency for this to occur when predic-

tive maintenance is first introduced into

an established organisation.

If the two components of proactive

maintenance – preventative and predic-

tive maintenance – are confined to silos,

the path is easier, but significantly less

rewarding. First prize is to have the

predictive and preventative teams work-

ing together very closely – this is the

essence of proactive maintenance and

essential for fully realising its benefits.

What it also means is that an effective

and comprehensive proactive mainte-

nance strategy cannot be introduced

into an existing organisation without

passing through the predictive mainte-

nance phase. As with many things in

life, learning to walk is essential before

we can learn to run.

When the opportunities afforded by

a mature and effective predictive main-

tenance programme are fully realised,

prior thought processes on preventative

and even reactive maintenance must

be revisited. When taken to their con-

clusion, it should be realised that the

investment in predictive maintenance is

more than offset by the reduced costs

and risks associated with traditional

reactive and preventative maintenance

strategies alone.

What about predictive maintenance

methods? Not very long ago the choice

in technology was both very limited

and costly (vibration, oil analysis and

infra-red thermography) and so too the

applicability. It also made selection easy.

Now there is very little that cannot be

done and costs have tumbled. Not only

in choice of method, but often also in

terms of whether conducted in-house

or outsourced, on or off-line, periodic or

continuous, local or remote, manual or

Safety, environmental, reputational

and other consequential risks asso­

ciated with failure are also increasingly

important. If these outweigh the costs

of conducting reactive maintenance,

then it is an appropriate strategy for

the asset in question.

automatic defect detection, manual or

inclusive diagnostics, manual or inclusive

prognostics, etc. On the surface it would

appear to be simply a question of eco-

nomics, but this is deceptive and is best

left as a topic for a separate discussion.

In order to realise the cost and reli-

ability benefits of a full proactive main-

tenance strategy, it is important take a

progressive approach. It is only when

an asset has already been categorised

and successfully managed, based on

preventative maintenance strategies,

that predictive maintenance strategies

and tools can be added to further reduce

failure risks and their consequences.

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