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Using artificial neural networks to detect risk of vehicle failure

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)245-246
JournalJournal of Intelligent Mobility
Issue number1
Publication statusPublished - 2011

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