Bearing Degradation Prognosis Using Structural Break Classifier

  • Murtaza HUSSAIN National University of Sciences and Technology, Islamabad
  • Asif MANSOOR National University of Sciences and Technology, Islamabad
  • Shafiq ur Rehman QURESHI National University of Sciences and Technology, Islamabad
  • Salman NISAR National University of Sciences and Technology, Islamabad
Keywords: Bearings, Failure Threshold Forecast, Prognosis, Structural Breaks

Abstract

Prognostics based on machine condition monitoring data are one of the key elements of modern maintenance philosophies.  Machinery health prognosis follows a sequential methodology inclusive of various processes ranging from data acquisition till remaining useful life estimation. Every step depicts distinct statistical features, which are helpful in estimating health state of a machine.  In this investigation, bearing vibration data has been analyzed by utilizing the technique of structural break point regression. Constructed model is also employed to observe degradation of bearing in different regimes to estimate remaining useful life.

DOI: http://dx.doi.org/10.5755/j01.mech.24.4.20740

Author Biographies

Murtaza HUSSAIN, National University of Sciences and Technology, Islamabad
PhD Scholar
Asif MANSOOR, National University of Sciences and Technology, Islamabad
Assistant Professor
Shafiq ur Rehman QURESHI, National University of Sciences and Technology, Islamabad
Assistant Professor
Salman NISAR, National University of Sciences and Technology, Islamabad
Assistant Professor
Published
2018-09-06
Section
MECHANICAL TECHNOLOGIES