Automotive Network Diagnostic Systems

Abstract

Rapid growth in automotive networked embedded systems has occurred over the past two decades. This leads to complexity, especially in fault diagnosis and testing of such systems. This paper reports a work-in-progress automotive network diagnostic system. The aim is to design a system to monitor and diagnose automotive networks, by using a knowledge-based diagnostic technique. Fault information from several sources is used to build a knowledge base. Network fault codes and possible causes diagnosed by a diagnostic module are then stored in a database. The codes are helpful for manufacturing and service processes. This new diagnostic system would contribute to general automotive diagnosis efficiency as it would help reduce numbers of possible fault causes, thereby, correctly pinpointing faulty devices and shortening diagnostic time.