PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A tribological study in the perspective of vibro-electric analysis

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: In this case study, oil starvation failure that is a common problem for mechanical constructions has been studied within perspective of vibro-electric analysis. The purpose of this research is testing material properties of a ball bearing under the oil starving failure and condition of resonance for inspecting predictive maintenance approaches. Design/methodology/approach: A test setup construction designed, built and placed in a laboratory location. An electrical motor has been selected for collecting electrical and vibrational data over a bearing by making tests. Test has been implemented under the electricity frequency of 63.8 Hz that was induced the rotation of electrical motor in order to set rotational speed. Findings: Respect to results of the analysis, inspecting of oil starving failure and resonance problem has been detected more clearly and informative by vibration analysis. Research limitations/implications: This research study is limited with some experience and data from case companies, data from relevant scientific literature and theories through scientific databases. Practical implications: Implementation of condition monitoring technologies on mechanical systems brings similarities with the health systems of the human beings. Such as developments in technologies of human health management, consultation of the mechanical systems should be practised in order to prevent breakdowns which cause unplanned stoppages. Vibrational and electrical monitoring techniques can be applied at enterprises in order to ease and reach higher accuracy for detection of symptoms cause from mechanical fault initiations. Originality/value: The originality of this research receive resources from comparison of traditional condition monitoring tool vibration analysis and more recently developed electrical consumption analysis used for predictive maintenance.
Rocznik
Strony
87--92
Opis fizyczny
Bibliogr. 7 poz.
Twórcy
autor
  • Mechanical Engineering Departement, Kilis 7 Aralik University, 79000, Kilis, Turkey
autor
  • Mechanical Engineering Departement, Pamukkale University, 20160, Denizli, Turkey
Bibliografia
  • [1] P. Graney, K. Starry, Rolling element bearing analysis, Materials Evaluation 70/1 (2012) 78-85.
  • [2] N. Tandon, A. Choudhury, An analytical model for the prediction of the vibration response of rolling element bearings due to localized defects, Journal of Sound and Vibration 205/3 (1997) 275-292.
  • [3] S.J. Lacey, An overview of bearing vibration analysis, Maintenance & Asset Management 23 (2008) 6.
  • [4] M. Blodt, P. Granjon, B. Raison, G. Rostaing, Models for bearing damage detection in induction motors using stator current monitoring, IEEE Transactions on Industrial Electronics 55/4 (2008) 1813-1822.
  • [5] S. Velarde-Suarez, R. Ballesteros-Tajadura, J.P. Hurtado-Cruz, A predictive maintenance procedure using pressure and acceleration signals from a centrifugal fan, Applied Acoustics 67 (2006) 49-61.
  • [6] E. Bonaldi, E. Oliveira, J. Silva, G. Torresm, L. Silva, Predictive Maintenance by Electrical Signature Analysis to Induction Motors, Induction Motors - Modelling and Control, Prof. Rui Esteves Araújo (Ed.), InTech, DOI: 10.5772/48045. Available from: http://www.intechopen.com/books/induction-motorsmodelling-and-control/predictive-maintenance-byelectrical-signature-analysis-to-induction-motors, 2012.
  • [7] T. Goodenow, W. Hardman, M. Karchnak, Acoustic emissions in broadband vibration as an indicator of bearing stress, Proceedings of the IEEE Aerospace Conference 6 (2000) 95-122.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dda931fe-7bc6-4532-9e82-d13e1923d681
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.