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Designing an Immunity-Based Sensor Network for Sensor-Based Diagnosis of Automobile Engines

  • Yoshiteru Ishida
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)

Abstract

This paper reports on the construction and use of a dynamic relational network that has been studied as an immunity-based system based on the concept of immune networks. The network is constructed by an immunological algorithm that tunes the network not to react to normal sensor data, but to react to abnormal data thereafter. The tuning is not straightforward, since even normal sensor data involve many situations such as accelerating phase and cruise phase; on-road and off-road; and running at altitude. A case study on sensor systems for the combustion control system of an automobile engine is presented.

Keywords

Sensor Network Sensor Data Time Series Analysis Automobile Engine Diagnostic Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yoshiteru Ishida
    • 1
  1. 1.Department of Knowledge-Based Information EngineeringToyohashi University of TechnologyToyohashiJapan

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