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Machinery Lubrication July August 2008

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VIEWPOINT<br />

When It Comes to CBM,<br />

Inspect Success<br />

MARK BARNES<br />

Most companies have discovered to some degree the benefits<br />

of condition based maintenance (CBM). By<br />

definition, CBM entails performing maintenance tasks, not on a<br />

scheduled interval basis (such as operating hours, miles, cycles,<br />

etc.) but rather based on data gathered from certain predictive<br />

maintenance tasks such as oil analysis, vibration analysis, thermography<br />

or ultrasonics. The key benefit to a condition-based<br />

maintenance strategy is that maintenance tasks get done only<br />

when required, based on data, optimizing the utilization of<br />

increasingly scarce maintenance resources. Done properly, there<br />

is little doubt that CBM can and does work.<br />

Routine Inspections<br />

While CBM has proved successful for many companies, all<br />

too often they miss the most basic and often the most effective<br />

form of predictive data gathering: routine operator-based<br />

inspections. While some companies struggle, other companies<br />

have jumped in with both feet, anxious to follow the success<br />

of Toyota and others that have successfully deployed<br />

autonomous maintenance in support of lean manufacturing<br />

initiatives. In fact, as many as 43 percent of all U.S.-based<br />

manufacturers are actively pursuing lean maintenance initiatives<br />

with varying degrees of success.<br />

Just like conventional maintenance practices, autonomous<br />

maintenance is predicated on predictive maintenance and, in<br />

particular, routine inspections. These routine inspections are<br />

usually part of regular operator rounds that are performed each<br />

week, day or shift. But even those companies that are having<br />

success with operator-assisted maintenance sometimes miss the<br />

mark; and while their desires are well-intentioned, their execution<br />

of inspections routes is lacking.<br />

From my experience, the main reasons for this are a lack of<br />

detail and engineering design up front in defining what needs<br />

to be inspected, how it should be inspected and documenting<br />

the required inspection routes. Inspections routes<br />

need to be specific. It’s not sufficient to simply state a task<br />

such as “check pump”. For some, check pump may mean to<br />

feel the housing for temperature. Others may look for signs of<br />

a packing leak, while others may simply check yes, indicating<br />

the pump is indeed still in the same place it was yesterday!<br />

Making the List<br />

The best inspection lists include clear, concise, taskspecific<br />

details for each asset. For lubrication, this includes<br />

details such as: check shaft seals for signs of oil leakage and<br />

check oil level gauge for correct operating oil level. Basic<br />

predictive maintenance data should also be collected. This<br />

might include the differential pressure gauge reading across<br />

the filters, the color and clarity of the oil in the sight glass or<br />

the color of the desiccant in the breather.<br />

6 <strong>July</strong> - <strong>August</strong> <strong>2008</strong> machinerylubrication.com <strong>Machinery</strong> <strong>Lubrication</strong>

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