Bearing Degradation Prognosis Using Structural Break Classifier

Authors

  • 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

DOI:

https://doi.org/10.5755/j01.mech.4.24.20740

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

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Published

2018-09-06

Issue

Vol. 24 No. 4 (2018)

Section

MECHANICAL TECHNOLOGIES