Vibration Diagnostics of Conveyor’s Rolling Bearings

Article Preview

Abstract:

For the factories it is essential, that the equipment and machines were available for the production process continuously. This is why we have to deal with the maintenance of the engines including diagnostics of machines and their main units. This analysis is dealing with the vibration diagnostics of conveyor’s rolling bearings. The test measurements were taken at a maize seed production factory. After analyzing the technology of the factory we have assigned which conveyors are the most important in the process of production. The measurements were taken. Based on the results of the analysis we have suggested the implementing of the vibration diagnostics.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

243-248

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G. Fedorko, P. Bindzár, V. Molnár, Influence of material transport on the environment, AT&P journal 9(7) (2002) 101-107. (original in Slovak).

Google Scholar

[2] P. Vermes, F. Vas, Technical diagnostics and economy, Pécs, 2007. (original in Hungarian).

Google Scholar

[3] P. Vermes, L. Herbály, F. Vas, Plant maintenance, Mezőtúr, 1996. (original in Hungarian).

Google Scholar

[4] P. Stepanov, Y. Nikitin, Diagnostics of Mechatronic Systems on the Basis of Neural Networks with High-Performance Data Collection, in: Mechatronics 2013: Recent Technological and Scientific Advances, Springer Intrenational Publishing Swizerland, 2014: p.433.

DOI: 10.1007/978-3-319-02294-9_55

Google Scholar

[5] G. Dorrell, T. William, Thomson, S. Roach, Analysis of airgap flux, current, and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors, Industry Applications, IEEE Transactions 33(1) (1997).

DOI: 10.1109/28.567073

Google Scholar

[6] L. Ruoyu, H. David, Rotational Machine Health Monitoring and Fault Detection Using EMD-Based Acoustic Emission Feature Quantification, Instrumentation and Measurement IEEE Transactions 61(4) (2012) 990-1001.

DOI: 10.1109/tim.2011.2179819

Google Scholar

[7] S.A. Mortazavizadeh, A. Vahedi, A.A. Zohouri, Detection of Stator Winding Inter-turn Short Circuit In Induction Motor Using Vibration Specified Harmonic Amplitude, in: 2nd International Conf. on Acoustics & Vibration, Sharif Univ. of Technology, Tehran, Iran, (2012).

Google Scholar

[8] B.E. Hachemi, Mohamed, A review of induction motors signature analysis as a medium for faults detection, Industrial Electronics, IEEE Transactions 47(5) (2000) 984-993.

DOI: 10.1109/41.873206

Google Scholar

[9] Y. Turygin, P. Božek, Mechatronic systems maintenance and repair management system, Transfer innovations 26 (2013) 3-5.

Google Scholar

[10] N. Subhasis, B. Raj, A. Hamid, Toliyat, Performance analysis of a three-phase induction motor under mixed eccentricity condition, Energy Conversion, IEEE Transactions 17(3) (2002) 392-399.

DOI: 10.1109/tec.2002.801995

Google Scholar

[11] J. Devaney, E. Levent, Detecting motor bearing faults, Instrumentation & Measurement Magazine, 7(4) 2004 30-50.

DOI: 10.1109/mim.2004.1383462

Google Scholar

[12] Y.R. Nikitin, I.V. Abramov, CNC machines diagnostics, in: Proceedings 13-th International Simposium on Mechatronics, Trencianske Teplice, Slovakia, 2010: p.89–91.

Google Scholar

[13] C.M. Riley, B.K. Lin, T.G. Habetler, G.B. Kliman, Stator current harmonics and their causal vibrations: a preliminary investigation of sensorless vibration monitoring applications, Industry Applications, IEEE Transactions 35(1) (1999) 94-99.

DOI: 10.1109/28.740850

Google Scholar

[14] G.K. Singh, A.L. Ahmed, Induction machine drive condition monitoring and diagnostic research a survey, Electric Power Systems Research 64(2) (2003) 145-158.

DOI: 10.1016/s0378-7796(02)00172-4

Google Scholar

[15] F. Briz, M.W. Degner, A.B. Diez, Online diagnostics, IEEE Transactions 40(4) (2004) 1153-1161.

Google Scholar

[16] P. Božek, E. Pivarčiová, V. Prajová, Identification of selected defects of products in an automated production system, in: Fourth Forum of Young Researchers, 2014: pp.249-253.

Google Scholar

[17] B. Akin, Ch. Seungdeog, U. Orguner, H.A. Toliyat, A simple real-time fault signature monitoring tool for motor-drive embedded fault diagnosis systems, Industrial Electronics, IEEE Transactions 58(5) (2011) 1990-(2001).

DOI: 10.1109/tie.2010.2051936

Google Scholar

[18] K. Byunghwan, L. Kwanghwan, Y. Jinkyu, L. Sang Bin, E.J. Wiedenbrug, M.R. Shah, Automated detection of rotor faults for inverter-fed induction machines under standstill conditions, Industry Applications, IEEE Transactions 47(1) (2011) 55-64.

DOI: 10.1109/ecce.2009.5316465

Google Scholar