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DIAGNOSIS SHAFT BEARINGS NODE KNIFE CUTTER FOR LOW-FREQUENCY VIBRATION

https://doi.org/10.20914/2310-1202-2015-1-7-11

Abstract

The currently used system of preventive maintenance is not effective enough. Vibration diagnostics is one of the modern methods of non-destructive testing equipment components, allowing to define the appearance of defects in the early stages. The paper identifies the main areas of research, as well as selected research object, selected non-destructive testing method for efficiently determining the actual state of dynamically operating equipment. Is a schematic of vibration sensors. Measuring point vibration parameters were determined experimentally based on the conditions for obtaining the most informative vibroacoustic signal. Determine the behavior of the cutter under which minimizes the occurrence of a wide range of fluctuations that affects the accuracy of the measurements. For vibration analysis method was chosen direct spectral analysis, which involves the detection of repetitive vibrations. Presented graphically vibration spectra and spectra of vibration signals. Analysis of a wide range of vibration spectrum allowed to allocate land on which showed a significant increase in the values of vibration. Processing of the selected portion of the spectrum has led to the conclusion that in the bearing, shock pulses are in contact with each rolling body shell, and as a result, a number of harmonics in the individual frequencies. Was made a comparative analysis of the spectra of working with a defective bearing bearing on the same frequencies and determine the average increase in the values of vibration. Spectral analysis is an effective method to determine not only the extent of the defect and its location, but also allows you to effectively predict its development. The results may be useful for specialists involved in vibration diagnostics, calculation and design of rotary machines.

About the Authors

S. T. Antipov
Voronezh state university of engineering technologies
Russian Federation
Professor, Department of machines and apparatuses of food production


A. N. Ryazanov
Voronezh state university of engineering technologies
Russian Federation
Associate Professor Department of machines and apparatuses of food production


A. V. Sharov
Voronezh state university of engineering technologies
Russian Federation
Graduate, Department of machines and apparatuses of food production


V. V. Korzin
Volga Polytechnic Institute
Russian Federation
Associate Professor, Department of "Automation, Electronics and Computer Science"


References

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3. GOST R 53564-2009 Kontrol’ sostoyaniya i diagnostika mashin. Monitoring sos-toyaniya proizvodstv. Trebovaniya k sitemam monitoring [Condition monitoring and diagnostics of machines. Monitoring the status of hazardous industries. Requirements for monitoring]. Moscow, STANDARTINFORM, 2010. 20 p. (In Russ.).

4. Kostyukov V.N., Tarasov E.V. Studies of vibroacoustic characteristics of rolling bearings. Glavnyi emergetik. [Head Energy], 2011, no. 8, pp. 65-68. (In Russ.).

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For citations:


Antipov S.T., Ryazanov A.N., Sharov A.V., Korzin V.V. DIAGNOSIS SHAFT BEARINGS NODE KNIFE CUTTER FOR LOW-FREQUENCY VIBRATION. Proceedings of the Voronezh State University of Engineering Technologies. 2015;(1):7-11. (In Russ.) https://doi.org/10.20914/2310-1202-2015-1-7-11

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ISSN 2226-910X (Print)
ISSN 2310-1202 (Online)