Ron Sullivan, VibrAlign, Inc., Richmond, Virginia,
and Scott Glover, REACT Vibration Services Inc., Mooresville, North Carolina
Predictive maintenance and condition monitoring technologies are now
widely accepted in power generating stations. There is little doubt that
vibration information is the single best indicator of the general condition
of rotating and reciprocating equipment. Normally, we select machinery
to be monitored on the basis of equipment costs, maintenance costs, expected
reliability, and the impact of failure. However, in a power plant just
about every piece of rotating machinery is vital to maintaining optimum
power output and efficiency, so it is conceivable that vibration analysis
could be applied station-wide.
Assisted by vibration analysis, predictive maintenance and condition
monitoring programs help avoid plant downtime or reduced output. For example,
just a 6 percent reduction in power output in one large generating unit
costs over $200 an hour.
Another unit, a 1,140 megawatt generator, produces electricity worth
$21,000 per hour. Reduced power output due to downtime or less efficient
operation impacts a utility's customers; in the new climate of deregulation
this conceivably leads to a loss of business.
Maintenance people at power plants should look at potential suppliers
of predictive maintenance and conditioning monitoring services who are
capable of corrective measures in addition to analyzing vibration data.
Corrective actions include laser alignment, precision balancing, root cause
analysis, and other vibration reduction techniques. Effective vibration
analysts should have a minimum of three years of on-the-job experience,
formal training, and self-learning for paramount effectiveness; obviously,
additional experience is a bonus.
There is little doubt that
vibration information
is the single best indicator
of the general condition
of rotating and reciprocating
equipment.
A vibration analysis program that identifies equipment problems but
does not address them and correct them cannot and should not be cost justified.The
vibration analysis program can be maintained within the power plant employment
structure or contracted from a specialty firm.
An in-house approach has several costs associated with program development:
hardware, software, and formal training, in addition to employees' salaries
and benefits. As an example, a power plant with 100 pieces of monitored
equipment typically needs three full-time vibration analysts. Each piece
of monitored equipment has an average of 15 measurement points; therefore,
fifteen hundred pieces of data must be gathered and analyzed monthly.
Expectations
The fundamental expectations of an effective vibration analysis program
are increased equipment availability, therefore increased power production
and reduced operating costs. An effective vibration analysis program helps
maintenance do more cost-effective work. To enhance equipment reliability,
the vibration analysis program identifies and resolves equipment problems.
Typical problems that can be detected and corrected with an efficient vibration
analysis program include misalignment, imbalance, resonance, mechanical
looseness, bad bearings, pump flow problems, gear anomalies, electrical
problems associated with motors, and belt drive problems.
In addition to addressing problem equipment, monthly vibration data
collection and analysis allow maintenance people to tend to problems as
they arise. This permits trends in equipment problems to become clear with
time and to be resolved before they become maintenance and reliability
issues. These repairs work can then be scheduled in order to ensure reliability.
Spare parts inventory may also be optimized. Regularly scheduled preventive
maintenance work can often be deferred, which also saves money. In fact,
one of the objectives of predictive maintenance and condition monitoring
is to do maintenance only when necessary, thereby increasing equipment
availability.
Maintenance team members should not view vibration analysis and other
predictive maintenance technologies as threats to their existence. Instead,
an effective vibration analysis program inevitably allows the maintenance
team to do more valuable work. When using predictive maintenance, the maintenance
team identifies specific trends and resolves problems. It does not fight
fires or replace parts on a schedule. The maintenance function should be
seen as a profit center, not a cost center as has historically been the
case.
The following example illustrates the effectiveness of vibration analysis.
It is imperative that the vibration signals are analyzed correctly to implement
necessary corrective actions successfully.
We have chosen the ball bearings on a Hoffman blower as an example.
The figures show the actual reduction in vibration after implementing corrective
maintenance as recommended by the analyst. These are prime examples of
adding life and reliability to the machine.
Figure 1 shows an outboard bearing vibration signature as found upon
initial inspection. Figure 2 is the same measurement point information
after the turbine was balanced. The vibration severity was reduced by nearly
500 percent. The longevity of machine life has been increased substantially.
Now, the bearings will be much more reliable and stay in service much longer.
Bearing damage can also be found through vibration analysis. Lack of,
or improper lubrication, contamination, mishandling or incorrect installation,
incorrect application, or excessive loading causes shortened bearing life.
Further, a newly installed bearing should have no indications of degradation
in the vibration signature.
Copyright October 1997 Plant Services on the WEB
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