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Home Publications Articles Vibration parameter trend classification for the aims of real-time condition monitoring

Vibration parameter trend classification for the aims of real-time condition monitoring

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With the help of automatic systems for real-time diagnostics and monitoring COMPACS®, which cover a huge amount of machinery equipment on the dozens of Russian enterprises, wide-ranging researches were carried out. As the result, the database in the form of vibration parameter trends was created in order to discover connection patterns between the vibration parameter changes nature and condition degradation of units of different types.

There is an experimentally proved mathematic model of the vibration parameter trend, which confirms the exponential increase of the trend in a catastrophic wear state. The statistical features of vibration parameter trends are examined. It is ascertained that the values of vibration parameters and their growth rates with high reliability are subjected to the Weibull-Gnedenko law.

Classification of the vibration parameter trend and other diagnostic features measured by the real-time monitoring systems is conducted. It revealed the trends with slow, medium and fast growth rates, trends with monotonous, exponential, alternating and multimodal features. There are also trends characterized by high and low dispersion.

All the types of trends reflect different types of the developing faults and their danger level. This data allowed to evaluate the standards of vibration parameter s and their growth rates in the centrifugal pump-and-compressor units. The received results are the basis of several Russian Federal standards, concerning condition monitoring of hazardous production facilities.

 

Kostyukov V.N., Kostyukov A.V. Vibration parameter trend classification for the aims of real-time condition monitoring // Testing. Diagnostics. - 2011. - № 12. - pp.26-33

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You can order the translation by e-mail: a@dynamics.ru


Tags: COMPACS diagnostics vibration parameter hazardous continuous productions monitoring Date: 28.11.2014
Views: 864
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