Fuzzy logic based fault detection of controller area network using microautobox - II

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Abstract:

<p>In automotive industry the role of electronic system becomes phenomenal. The complexity of the system increases to a larger extend now a days, and hence the diagnostics is also very much essential. The diagnostics can be mainly done in sensors/actuators, processors and on communication medium. Here, we have presented a fault detection system using fuzzy logic for the CAN (Controller Area Network). Whenever a fault occurred in the CAN, a Diagnostic Trouble Code (DTC) corresponding to that fault is recorded in an ECU (Electronic Controlled Unit) which is capable of detecting distinct faults only. In this paper we have proposed a prototype of an ECU using MicroAutoBox ' II hardware, with a CAN interface to detect faults induced into the network. Fuzzy engine within the ECU is capable of identifying the faults based on the number of error frames (Ef), ranges from 0-80 as well as change in differential bus resistance (Rdiff(total)). The validation is done based on the rule created in the fuzzy system. © 2017 IEEE.</p>

Notes:

cited By 0; Conference of 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 ; Conference Date: 13 September 2017 Through 16 September 2017; Conference Code:133501