Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Ancient Temple Carts—Modifications for Structure and Steering Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Two-Stage Data Driven Filtering for Local Damage Detection in Presence of Time Varying Signal to Noise Ratio

Authors : Jakub Obuchowski, Agnieszka Wylomanska, Radoslaw Zimroz

Published in: Vibration Engineering and Technology of Machinery

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Local damage detection in rotating machinery can become a very difficult issue due to time-varying load or presence of another damage reflected in amplitude modulation of the raw vibration signal. In this paper a two-stage filtering method is presented to deal with this problem. The first stage is based on autoregressive (AR) modeling. It is incorporated to suppress high-energy components that mask an informative signal. High-energy amplitudes of mesh harmonics modulated by other damage or load variation can affect selectors of optimal frequency band as well, so they have to be suppressed. The second stage relies on filtering the AR-residual signal using a linear filter based on an informative frequency band selector. Here as a selector we propose to use the average horizontal distance on quantile-quantile plot. We compare the result of the second stage with the spectral kurtosis. The procedure is illustrated by real data analysis of a two-stage gearbox used in a belt conveyor drive system in an open-pit mine.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Vibration Control of Active Vehicle Suspension System Using Fuzzy Logic Controller
next chapter Energy Harvesting from Near Periodic Structures
Literature
1.
Sawalhi N, Randall RB (2005) Spectral kurtosis enhancement using autoregressive models. In: 4th Australasian congress on applied mechanics, pp 231–236
2.
Sawalhi N, Randall RB (2011) Signal Pre-whitening for fault detection enhancement and surveillance in rolling element bearings. In: Paper presented at the eighth international conference on condition monitoring and machinery failure prevention technologies, St David’s Hotel, 20–22 June, Cardiff, UK
3.
Sawalhi N, Randall RB (2011) Vibration response of spalled rolling element bearings: Observations, simulations and signal processing techniques to track the spall size. Mech Syst Signal Process 25(3):846–870CrossRef
4.
Wyłomańska A, Obuchowski J, Zimroz R, Hurd H (2014) Periodic autoregressive modeling of vibration time series from planetary gearbox used in bucket wheel excavator. In: Cyclostationarity: Theory and Methods, Lecture Notes in Mechanical Engineering, Chaari F et al (eds), pp 171–186
5.
Broszkiewicz-Suwaj E, Makagon A, Weron R, Wyłomańska A (2004) On detecting and modeling periodic correlation in financial data. Phys A 336:196–205CrossRefMathSciNet
6.
Makowski R, Zimroz R (2014) New techniques of local damage detection in machinery based on stochastic modelling using adaptive Schur filter. Appl Acoust 77:130–137CrossRef
7.
Makowski RA, Zimroz R (2011) Adaptive bearings vibration modelling for diagnosis, lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 6943 LNAI, pp 248–259
8.
Makowski R, Zimroz R (2013) A procedure for weighted summation of the derivatives of reflection coefficients in adaptive Schur filter with application to fault detection in rolling element bearings. Mech Syst Signal Process 38(1):65–77CrossRef
9.
Obuchowski J, Wylomanska A, Zimroz R (2013) Stochastic modelling of time series with application to local damage detection in rotating machinery. Key Eng Mater 569–570:441–449CrossRef
10.
Obuchowski J, Wylomanska A, Zimroz R (2013) Novel enhancement techniques for noisy vibration signals applied to local damage detection in rotating machines. In: Proceedings of International conference surveillance 7, Oct 29–31, Chartres, France
11.
Obuchowski J, Wylomanska A, Zimroz R (2014) Adaptation of Spectral Kurtosis based filtering procedure using novel criteria of impulsiveness, Manuscript submitted for publication
12.
Obuchowski J, Wylomanska A, Zimroz R (2014) Selection of informative frequency band in local damage detection in rotating machinery. Mech Syst Signal Process, Advance online publication. doi:10.​1016/​j.​ymssp.​2014.​03.​011. 48(1–2):138–152
13.
Combet F, Gelman L (2009) Optimal filtering of gear signals for early damage detection based on the spectral kurtosis. Mech Syst Signal Process 23(3):652–668CrossRef
14.
Zhan Y, Mechefske CK (2007) Robust detection of gearbox deterioration using compromised autoregressive modeling and kolmogorov-smirnov test statistic—Part I: compromised autoregressive modeling with the aid of hypothesis tests and simulation analysis. Mech Syst Signal Process 21(5):1953–1982CrossRef
15.
Justel A, Pen D, Zamar R (1997) A multivariate Kolmogorov-Smirnov test of goodness of fit. Stat Probab Lett 35(3):251–259CrossRefMATH
16.
Brockwell PJ, Davis RA (2006) Time Series: theory and methods. Springer Series in Statistics, Springer, New York, ISBN: 978-1-4419-0320-4
Metadata
Title
Two-Stage Data Driven Filtering for Local Damage Detection in Presence of Time Varying Signal to Noise Ratio
Authors
Jakub Obuchowski
Agnieszka Wylomanska
Radoslaw Zimroz
Copyright Year
2015
Book
Vibration Engineering and Technology of Machinery

Print ISBN: 978-3-319-09917-0

Electronic ISBN: 978-3-319-09918-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-09918-7_36

Premium Partners

    Image Credits