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The dynamic state monitoring of bearings system

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Języki publikacji
EN
Abstrakty
EN
The article discusses the methods of dynamic state monitoring of bearings system. A vibration signal contains important technical information about the machine condition and is currently the most frequently used in diagnostic bearings systems. One of the main advantages of machine condition monitoring is identifying the cause of failure of the bearings and taking preventative measures, otherwise the operation of such a machine will lead to frequent replacement of the bearings. Monitoring changes in the course of the operation of machinery repair strategies allows keeping the conditioned state of dynamic failure conditioned preventive repairs and repairs after-failure time. In addition, the paper also presents the fundamental causes of bearing failure and identifies mechanisms related to the creation of any type of damage.
Rocznik
Strony
35--38
Opis fizyczny
Bibliogr 16 poz., rys.
Twórcy
autor
  • Institute of Production Engineering, Faculty of Management, Czestochowa University of Technology, Armii Krajowej 19B, 42-201 Czestochowa, Poland
Bibliografia
  • 1. Cempel, C. 2008. Decomposition of symptom observation matrix and its optimization in vibration condition monitoring of machines. Applied Mechanics and Materials, Volume 9, Pages 51-60.
  • 2. Kania L. 2006. Modelling of rollers in slewing bearing calculations with the use of finite elements. Mechanism and Machine Theory, 41 (2006), 11: 1359-1376.
  • 3. Kania L., Krynke M., Mazanek E. 2012. A Catalogue Capacity of Slewing Bearings. Mechanism and Machine Theory, Vol.58. s.29-45.
  • 4. Krynke M., Kania L., Mazanek E. 2012. Modelling the contact between the rolling elements and the race-ways of bulky slewing bearings. Key Engineering Materials, Vol. 490 s.166-178.
  • 5. Krynke M., Konop K., Mielczarek K. 2014. Identifying variables that influence manufacturing product quality. Production Engineering Archives. Vol. 4(3)/2014. s.
  • 6. Krynke M., Selejdak J., Borkowski S. 2012. Diagnosis and damage of bearings. Manufacturing Technology. (12), p. 140-144.
  • 7. Krynke M., Selejdak J., Borkowski S. 2012. The Analysis of Damage to Pitch Surfaces of Slewing Bearings. Advanced Manufacturing and Repair Technologies in Vehicle Industry. 29th International Colloquium. EDIS - Editing Centre ZU. Zilina s. 71-75.
  • 8. Krzemiński-Freda, H., Warda, B. 1989. The effect of roller end-flange contact shape upon frictional losses and axial load of the radial cylindrical roller bearing. Tribology Series. Volume 14, Issue C, , Pages 287-295.
  • 9. Makowski R, Zimroz R. 2012. A procedure for weighted summation of the derivatives of reflection coefficients in adaptive Schur filter with application to fault detection in rolling element bearings. Mechanical Systems and Signal Processing.
  • 10. Mazanek E., Krynke M. 2011. Uszkodzenia bieżni łożysk wieńcowych. Tribologia. Teoria i praktyka. Oficyna Wydawnicza SIMP. 3/2011 (37). Warszawa. s.67-80.
  • 11. PN-90 N-01358, Metody pomiarów i oceny drgań maszyn.
  • 12. Poradnik CX BEARINGS: http://e-katalog.home.pl/ CX_BEARINGS/poradnik.php?gr=5&pod=17&sub=1.
  • 13. Przegląd Mechaniczny. 2011. Uszkodzenia łożysk i ich przyczyny. nr 11/11.
  • 14. Swȩdrowski L. 2010. Current measurements and analysis for induction motor diagnostics. Metrology and Measurement Systems. Volume 17, Issue 1.
  • 15. Szymaniec S. 2007. Assessment of the condition of rolling bearings in electric motors. Archives of Electrical Engineering. Volume 56, Issue 221-222, Pages 299-316.
  • 16. Żółtowski B. 1996. Podstawy diagnostyki maszyn. Wydawnictwo Uczelniane ATR, Bydgoszcz.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-445e660d-b390-4ec0-b372-dc599583b40b
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