Why monitoring of reciprocating compressors ?
Increase machinery uptime despite constant maintenance investments through optimised component lifetime utilisation for extended Meantime Between Maintenance.
In particular, wear out characteristics are often found where equipment comes into direct contact with the product. Age-related failures are also often associated with fatigue, corrosion, abrasion and evaporation. The period of "infant mortality" at the very start of the items lifetime is mostly caused by human errors during initial start-up routines or item installation.
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This figure is based on the assumption that most items or components operate reliably for a period "X", and then wear out. Classical thinking suggests that extensive records about failure will enable us to determine this "lifetime" and so make plans to take preventive action shortly before the component is due to fail in future. This model is true for certain types of simple equipment (e.g. rider rings) and for some more complex items with dominant failure modes. |

Source: RCM II by John Moubray, Industrial Press Inc, 1992 |
The so called "3rd generation" of failure examination revealed, that not one or two but six failure patterns actually occur in practice. One of the most important conclusions to emerge from this research is a growing realisation that although they may be done exactly as planned, a great traditionally-derived maintenance tasks achieve nothing; while some are actively counterproductive. This is especially true of many tasks done in the name of preventive maintenance. The figure shows that majority of components do not fail due to age. This finding is essential for those who are responsible for maintenance and/or operation of complex machinery and another strong reason for machinery monitoring. |
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Compressor Condition Monitoring
Internationally, PROGNOST Systems GmbH is the No.1 partner for companies in the oil, gas, and chemical industries sectors who want to ensure safe, reliable and economic operation of their reciprocating compressors.
PROGNOST Systems GmbH has more than 15 years of engineering experience in monitoring, analyzing, and interpreting high-frequency data uniquely particular to reciprocating machinery using state-of-the-art acquisition techniques (online condition monitoring). Operating from multiple locations throughout Europe and the USA, and backed by a global distributor network, PROGNOST Systems has secured a growing list of satisfied customers delivering quality technology and reliable on-site support.
http://www.prognost.com
http://www.recip-monitoring.com
http://www.compressor-condition-monitoring.com
http://www.compressor-monitoring.com
http://www.conditionmonitoring.eu
http://www.condition-monitoring.eu.com
http://www.vibration-monitoring.info
http://www.compressor-reliability.com
http://www.compressor-safety.com
http://www.rotating-equipment.de
http://www.rotating-equipment.net
Damage detection
While for many machines, machine
safety is especially important, monitoring
systems should, in addition to the
rigorous and extensive requirements of
functional safety and SIL certification,
provide more features. For operators, the
detection and clear identification of the
location of the damage site is a top
priority. This applies in particular to
reciprocating compressors, which have
an especially high number of moving
parts exposed to continuous reciprocal
loads. This challenge is met by condition
monitoring systems that incorporate
automatic diagnostic functions. The
automatic diagnosis does, however, have
limits, especially in conjunction with a
rapidly executed emergency shutdown.
The very short decision making
periods available are necessitated by the need to protect against fast
spreading damage and often do not allow time for the longer term
diagnosis required to identify possible causes before an emergency
shutdown. The exact cause analysis must therefore take place after
completion of the emergency shutdown. Based on an analysis of over
400 detected incidences of damage, it is possible to state the
following: 30% of all catastrophic damage (e.g. piston rod breakages)
that led to an emergency shutdown developed within 120 seconds of
a state of normal operation. In the past, the machine was started
again in order to detect the damage acoustically, and as such, narrow
it down. The consequential damage was generally several times
larger than the actual factor triggering the damage.
But after an emergency shutdown at five o‘clock on a Sunday
morning, for example, how can damage to the automatically shut
down machine be identified? How can one quickly identify whether it
was a false shutdown, as is often argued? With its high safety
standards, the aviation industry provides the model for the most
viable solution with the flight data recorder that has been standard
for decades. By integrating ‘voice recorder’ into the machine safety
concept, a maintenance technician can reenact the shutdown in the
same way as if he has been on the scene at the time. Due to the
rapid development of some types of damage, a gapless transient
record of as much data as possible is crucial in the post mortem
analysis in order not to miss any important elements when securing
evidence for understanding the events with regard to the important
aspect of damage avoidance. For the reciprocating compressors, in
which typical time signal analyses enable diagnoses that are more
accurate than the frequency spectrum analyses used with
turbomachinery; this means, ideally, the gapless recording of all
monitored time signals for each crankshaft revolution before, during
and after the event associated with the damage.
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