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Supporting Synthetic Data-Driven Diagnosis through Automated Fault-Injection

Authors:
Patrick E. Lanigan
Thomas E. Fuhrman
Priya Narasimhan

Keywords: diagnosis, fault-injection, flexray

Abstract:
Given the lack of empirical data available from automotive serial-communication networks, an automated fault-injection environment can be used to create synthetic datasets for training and testing data-driven diagnosis algorithms. We use commercial fault-injection hardware with custom software to implement such an environment. A small pilot study using injected physical-layer faults shows promise in producing identifiable error-patterns.

Pages: 65 to 71

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-4324

ISBN: 978-1-61208-149-6

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011