Skip to main content
SpringerLink
Log in
Book cover

Mechatronic Systems pp 333–358Cite as

Models of Oscillations and their Identification

  • Chapter

Abstract

Many technical processes are characterized by oscillating or cyclic behavior (rotary machines, alternating currents, etc.) The occurring signals y(t) are then periodic or contain periodic parts.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Chapter 8

  • Akaike H (1974). A new look at the statistical model identification. IEEE Trans. on Automatic Control, 19: 716–723.

    Article  MATH  MathSciNet  Google Scholar 

  • Box GEP, Jenkins GM (1970). Time Series Analysis. Holden Day Press, San Francisco.

    MATH  Google Scholar 

  • Brigham EO (1974). The Fast Fourier Transform. Prentice Hall, Englewood-Cliffs.

    MATH  Google Scholar 

  • Burg JP (1967). Maximum entropy spectral analysis. In: Proceedings of the 37th Meeting of the Society of Exploration Geophysicists.

    Google Scholar 

  • Burg JP (1968). A new analysis technique for time series data. NATO Advanced Study Institute on Signal Processing with Emphasis on Underwater Acoustics, August 12–23.

    Google Scholar 

  • Cooley IW, Tuckey I (1965). An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19: 297.

    Article  MATH  Google Scholar 

  • Edward JA, Fitelson MM (1973). Notes on maximum-entropy processing, IEEE Transaction on Information Theory 19 no. March

    Google Scholar 

  • Führer J, Sinsel S, Isermann R (1993). Erkennung von Zündaussetzern aus Drehzahlsignalen mit Hilfe eines Frequenzbereichsverfahrens. In: 13. Tagung Elektronik im Kraftfahrzeug, Essen.

    Google Scholar 

  • Hess W (1989). Digitale Filter. Teubner, Stuttgart.

    Google Scholar 

  • Isermann R (1988). Digital Control Systems. Springer, Berlin.

    Google Scholar 

  • Isermann R (1992). Identifikation dynamischer Systeme, 2nd edn., vol. 1 and 2. Springer, Berlin.

    Google Scholar 

  • Kammeyer KD, Kroschel K (1992). Digitale Signalverarbeitung. Teubner, Stuttgart.

    Google Scholar 

  • Makhoul J (1975). Linear prediction: a tutorial review. In: Proceedings IEEE 63: 561–580.

    Article  Google Scholar 

  • Muffert K-H (1980). Ursachen und Beispiele von Schäden an Verbrennungsmotoren. Der Maschinenschaden 53: 95–102.

    Google Scholar 

  • Neumann D (1991). Fault diagnosis of machine-tools by estimation of signal spectra. In: Proceedings of IFAC/IMACS Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS’91. Baden-Baden, September 10–13, 1: 73–78.

    Google Scholar 

  • Neumann D (1994). Analyse periodischer Signale zur Fehlererkennung. In Isermann R (ed) Überwachung und Fehlerdiagnose. VDI-Verlag, Düsseldorf: 43–71.

    Google Scholar 

  • Neumann D, Janik W (1990). Fehlerdiagnose an spanenden Werkzeugmaschinen mit parametrischen Signalmodellen von Spektren, VDI-Schwingungstagung. Mannheim, October 11–12. VDI-Bericht no. 846. VDI-Verlag, Düsseldorf.

    Google Scholar 

  • Nussbaumer HJ (1981). Fast Fourier Transform and Convolution Algorithms 2nd edn. Springer, Berlin.

    MATH  Google Scholar 

  • Pandit SM, Wu GM (1983). Time Series and System Analysis with Applications. Wiley, New York.

    MATH  Google Scholar 

  • Papoulis A (1984). Signal Analysis. McGraw-Hill, New York.

    Google Scholar 

  • Press WH, Flannery BP, Teukolsky SA (1988). Numerical Recipes — the Art of Scientific Computing. Cambridge University Press, Cambridge.

    Google Scholar 

  • Ribbens WB, Rizzoni G (1990). Onboard diagnosis of engine misfires. SAE-Paper 901768, Detroit.

    Google Scholar 

  • Schüssler HW (1988). Digitale Signalverarbeitung, 2nd edn., vol. 1 and 2. Springer, Berlin.

    Google Scholar 

  • Stearns SD, Hush DR (1990). Digital Signal Analysis. Prentice Hall, Englewood Cliffs.

    Google Scholar 

  • Tong H (1975). Autoregressive model fitting with noisy data by Akaike’s information criterion. IEEE Trans. on Information Theory 21: 476–480.

    Article  MATH  Google Scholar 

  • Tong H (1977). More on autoregressive model fitting with noisy data by Akaike’s information criterion. IEEE Trans. on Information Theory 23: 409–410.

    Article  MATH  Google Scholar 

  • Ulrych TJ, Bishop TN (1975). Maximum entropy spectral analysis and autoregressive composition. Rev. of Geophysics and Space Physics, February 1975.

    Google Scholar 

  • Willimowski M, Füssel D, Isermann R (1999). Misfire detection for spark-ignition engines by exhaust gas pressure analysis. Motortechnische Zeitschrift worldwide: 8–12.

    Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag London Limited

About this chapter

Cite this chapter

(2005). Models of Oscillations and their Identification. In: Mechatronic Systems. Springer, London. https://doi.org/10.1007/1-84628-259-4_8

Download citation

  • DOI: https://doi.org/10.1007/1-84628-259-4_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-930-2

  • Online ISBN: 978-1-84628-259-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation