Distributed Diagnosis for Embedded Systems in Automotive Vehicles
Fault diagnosis is important for automotive vehicles, due to economic
reasons such as efficient repair and fault prevention, and
legislations which mainly deals with safety and pollution. In
embedded systems with dozens of electronic control units that states
local diagnoses, it can be arbitrary difficult to find which
combination of local diagnoses that points at the correct faulty
components. An algorithm is presented that both finds the diagnoses
that in themselves are complete and chooses only those diagnoses that
are more likely to be correct, this restriction is wanted due to the
limitations in processing power, memory, and network capacity. The
embedded system in a Scania heavy duty vehicle has been used as a case
study to find realistic requirements on the algorithm. Copyright 2005
IFAC.
Jonas Biteus, Mathias Jensen and Mattias Nyberg
IFAC World Congress,
2005
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