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The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal

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Intelligent Problem Solving. Methodologies and Approaches (IEA/AIE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

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Abstract

A neurofuzzy modelling technique is used to predict the differential equation coefficients of brake noise time histories as functions of braking test conditions. These are then related to the 3rd order differential equations governing a candidate mathematical model of brake squeal using a second neurofuzzy model. This determines whether similar or sensible parametric changes in the model are required to mirror the dynamic effects of changes in experimental condition parameters. An assessment of the efficacy of the candidate model is then made based on this analysis. The results of different candidate models could be likewise compared to determine which is most realistic.

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Author information

Authors and Affiliations

  1. Image, Speech and Intelligent Systems Research Group, University of Southampton, Building 1, Southampton, SO17 1BJ, UK

    Simon Feraday & Chris Harris

  2. School of Mechanical Engineering, Hanyang University, Seoul, South Korea

    Kihong Shin

  3. Institute of Sound and Vibration Research, University of Southampton, Tizard Building, Southampton, SO17 1BJ, UK

    Mike Brennan

  4. TRW Braking Systems, Oldwych Lane East Kenilworth, Warwickshire, CV8 1NR, UK

    Malcolm Lindsay

Authors
  1. Simon Feraday
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  2. Chris Harris
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  3. Kihong Shin
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  4. Mike Brennan
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  5. Malcolm Lindsay
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Editor information

Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Feraday, S., Harris, C., Shin, K., Brennan, M., Lindsay, M. (2000). The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_6

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  • DOI: https://doi.org/10.1007/3-540-45049-1_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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