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An Integrated Diagnostic Process for Automotive Systems

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Computational Intelligence in Automotive Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 132))

The increased complexity and integration of vehicle systems has resulted in greater difficulty in the identification of malfunction phenomena, especially those related to cross-subsystem failure propagation and thus made system monitoring an inevitable component of future vehicles. Consequently, a continuous monitoring and early warning capability that detects, isolates and estimates size or severity of faults (viz., fault detection and diagnosis), and that relates detected degradations in vehicles to accurate remaining life-time predictions (viz., prognosis) is required to minimize downtime, improve resource management via condition-based maintenance, and minimize operational costs.

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Authors and Affiliations

  1. University of Connecticut, Storrs, CT, 06268, USA

    Krishna Pattipati, Anuradha Kodali, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram, Suvasri Mandal & William Donat

  2. Toyota Technical Center USA, 1555 Woodridge Rd., Ann Arbor, MI, 48105, USA

    Setu Madhavi Namburu, Shunsuke Chigusa & Liu Qiao

  3. Qualtech Systems, Inc., Putnam Park, Suite 603, 100 Great Meadow Road, Wethersfield, CT, 06109, USA

    Jianhui Luo

Authors
  1. Krishna Pattipati
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  2. Anuradha Kodali
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  3. Jianhui Luo
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  4. Kihoon Choi
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  5. Satnam Singh
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  8. William Donat
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  9. Setu Madhavi Namburu
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  10. Shunsuke Chigusa
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  11. Liu Qiao
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Editors and Affiliations

  1. Toyota Technical Center - A Division of Toyota Motor Engineering and Manufacturing (TEMA), Ann Arbor, MI, 48105, USA

    Danil Prokhorov

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Pattipati, K. et al. (2008). An Integrated Diagnostic Process for Automotive Systems. In: Prokhorov, D. (eds) Computational Intelligence in Automotive Applications. Studies in Computational Intelligence, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79257-4_11

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  • DOI: https://doi.org/10.1007/978-3-540-79257-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79256-7

  • Online ISBN: 978-3-540-79257-4

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