The paper presents broad-scale research held by means of the COMPACS® systems of automated diagnostics and real-time condition monitoring that have been implemented on considerable amount of machinery equipment at a number of enterprises in the Russian Federation.
As a result of this research, a knowledge base of vibration parameter trends has been compiled. It reveals regularities between the type of vibration parameter measurement and the degradation of unit condition. The mathematical model of a vibration parameter trend has been confirmed experimentally, and it states an exponential growth of the vibration parameter trend at the stage of extremely gross wear.
In addition, the statistical properties of the vibration parameter trends have been researched. It has been established that generally the values of vibration parameters and their growth rates are subject to the Weibull-Gnedenko distribution.
The paper presents the developed classification of vibration parameter trends and other diagnostic features that can be measured by the Real-time condition monitoring (RTCM) systems.
Trends that have low, middle and high-speed growth rates have been discovered as well as the trends of monotonous, exponential, alternate and multimodal character. The trends that are characterized by high and low dispersion have been sorted out. Each trend type reflects different defects developing in equipment and degree of danger of these defects.
This data allowed us to calculate the norms of vibration parameters and their growth rate for centrifugal pumps and compressors. The obtained results are the base of some Russian State Standards relating to condition monitoring of equipment at hazardous industries.
Kostyukov V.N., Kostyukov A.V. Classification of vibration parameters trends for RTCM // The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM-2011/MFPT-2011)
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