Using artificial neural networks to detect risk of vehicle failure

David Sanders

Using artificial neural networks to detect risk of vehicle failure

Research output: Contribution to journal › Article › peer-review

Abstract

This short paper presents a method (suggested elsewhere) that considers control sensor data and uses it to set fault thresholds. ANNs analyze correlations of data and detect risks. Simulation suggests that vehicle faults can be detected within datasets

Original language	English
Pages (from-to)	245-246
Journal	Journal of Intelligent Mobility
Volume	14
Issue number	1
Publication status	Published - 2011

Keywords

ANN, sensor, vehicle, fault

Wheel driven mobile robots
Sanders, D.
15/10/09 → …
Project: Research

Cite this

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Using artificial neural networks to detect risk of vehicle failure

Abstract

Keywords

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Projects

Wheel driven mobile robots

Cite this