Designing an immunity-based sensor network for sensor-based diagnosis of automobile engines

Authors:
Yoshiteru Ishida
Affiliations:
Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

Citing 3
Cited 3

The immune system, adaptation, and machine learning

Physica D
Next century challenges: scalable coordination in sensor networks

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Immunity-Based Systems

Immunity-Based Systems

Adaptive Forecasting of High-Energy Electron Flux at Geostationary Orbit Using ADALINE Neural Network

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Evaluations of immunity-based diagnosis for a motherboard

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Immunity-based systems revisited: toward systems science for robust and adaptive engineering

Proceedings of the International Conference on Management of Emergent Digital EcoSystems

Quantified Score

Hi-index	0.00

Visualization

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.