Fault Detection and Recovery for Automotive Embedded System Using Rough Set Techniques

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 9)

Abstract

The aim of this chapter is to propose the two main features‚ fault detection and recovery in a fault-tolerant system. These are to be modeled and designed through the use of correct mathematical approaches. The fault finding approach through rough sets using fuzzy logic control to detect exact location and nature of fault in terms of states in the automotive system. The clear distinction between thermal, mechanical, electrical, electronics, communication, and computing subsystems is another challenge in the design of fault-tolerant automotive embedded system. Fuzzy function method is used to locate the error components in automotive embedded system. The proposed research work, the fault detection, and fault recovery are achieved through fuzzy rough set technique and interface EXFSM with DSDA approach, respectively.

Keywords

Embedded faults Fault detection Rough sets and rough and fuzzy rough sets 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Faculty of Engineering and Technology, Department of Electrical and Computer EngineeringMettu UniversityMettuEthiopia

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