caa a22 4500 467949271 CHVBK 20180405193740.0 cr unu---uuuuu 170328e20041001xx s 000 0 eng 10.1007/BF02637208 doi (NATIONALLICENCE)springer-10.1007/BF02637208 (NATIONALLICENCE)springer-10.1007/s00419-004-0327-8 Numerical vibration analysis on defect detection in revolving machines using two bearing models [Elektronische Daten] [K. Debray, F. Bogard, Y. Guo] Summary: Monitoring by vibration measurement and analysis is largely used in the industry for detection of defects in revolving parts of machines. The determination of good sensor positions is one of the main research goals in the field of predictive maintenance. This paper proposes a numerical methodology based on the FEM and spectral analysis in order to find the optimum sensor positions. Bearings are key components in the vibration propagation from moving parts to immobile ones. Two existing nonlinear models of bearings are recalled and implemented in a FE code. The obtained tangent stiffness matrices of bearings are then put in the global system to-study the dynamic behaviour. The dynamic response of the whole system under defect excitations is used to determine the optimum sensor placements for the defect detection in the predictive maintenance. Springer-Verlag, 2004 Predictive maintenance nationallicence Ball bearing nationallicence FEM nationallicence Spectral analysis nationallicence Defect detection nationallicence Sensor positioning nationallicence Debray K. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France aut Bogard F. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France aut Guo Y. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France aut Archive of Applied Mechanics Springer-Verlag 74/1-2(2004-10-01), 45-58 0939-1533 74:1-2<45 2004 74 419 https://doi.org/10.1007/BF02637208 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02637208 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Debray K. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France aut NATIONALLICENCE 700 1- Bogard F. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France aut NATIONALLICENCE 700 1- Guo Y. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France aut NATIONALLICENCE 773 0- Archive of Applied Mechanics Springer-Verlag 74/1-2(2004-10-01), 45-58 0939-1533 74:1-2<45 2004 74 419 NATIONALLICENCE 700 1- Debray K. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, 1039 - 51687, Reims Cedex 2, BP, France aut NATIONALLICENCE 700 1- Bogard F. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, 1039 - 51687, Reims Cedex 2, BP, France aut NATIONALLICENCE 700 1- Guo Y. Q. Laboratory GMMS (Group of Mechanics, Materials & Structures), University of Reims Champagne-Ardenne Moulin de la Housse, 1039 - 51687, Reims Cedex 2, BP, France aut NATIONALLICENCE 856 40 https://doi.org/10.1007/s00419-004-0327-8 text/html Onlinezugriff via DOI Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer