Recip Monitoring PROGNOST Systems

PROGNOST®-Pump Services PROGNOST®-NT Swift Lubrication Monitoring Early Failure Detection PROGNOST®-SILver News Russian Website Process Data Analyses Performance Optimization Wear Monitoring Base Unit Flyer Download Case Studies Compressor Safety Analyses Component Tracking References PROGNOST®-NT Technical description SIL2-certified PROGNOST®-Genuit Online Condition Monitoring LNG Boil Off Gas-Compressor Signal Analyses Safety Analyses Segmentation LDPE Compressor Monitoring Model Based Diagnostics Crank Angle related Vibration Diagnostics Temporary Monitoring Early Failure Detection Safety Protection Hardware

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.

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.