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A New Technique for Local Damage Detection Based on Statistical Properties of Vibration Signal

  • Aleksandra Grzesiek
  • Grzegorz ŻakEmail author
  • Agnieszka Wyłomańska
  • Radosław Zimroz
Conference paper
Part of the Applied Condition Monitoring book series (ACM, volume 10)

Abstract

In this paper novel methods concerning informative band selection are presented. Given the specific behavior of signals coming from the faulty component, it is reasonable to provide methods allowing for distinction between healthy and damaged components. The proposed approach is based on the measurement of the distance between empirical distribution and Gaussian one in terms of comparing statistical properties and power law tail index behavior. The choice of the mentioned statistics is motivated by their properties when applied to the impulsive signals. The introduced methodology is illustrated by analysis of the real vibration signals acquired from healthy and faulty drive pulley bearing of the belt conveyor. The results provide a way to easily select an informative frequency band and distinguish between healthy and faulty component.

Keywords

Rolling element bearing Damage detection Statistical analysis Signal modeling 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Aleksandra Grzesiek
    • 1
  • Grzegorz Żak
    • 2
    Email author
  • Agnieszka Wyłomańska
    • 1
  • Radosław Zimroz
    • 2
  1. 1.Faculty of Pure and Applied Mathematics, Hugo Steinhaus CenterWroclaw University of Science and TechnologyWroclawPoland
  2. 2.Diagnostics and Vibro-acoustic Science LaboratoryWroclaw University of Science and TechnologyWroclawPoland

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