Safety Reliability Enhancement in Fault tolerant Automotive Embedded System
Balachandra Pattanaik1, S. Chandrasekaran2

1Balachandra Pattanaik, Department of Electrical and electronics Engineering, Sathyabama University, Research Schoolar, India.
2S. Chandrasekaran, Velammal Engineering college, Anna University, Chennai-600 066, India.

Manuscript received on 09 January 2013 | Revised Manuscript received on 18 January 2013 | Manuscript Published on 30 January 2013 | PP: 63-68 | Volume-2 Issue-2, January 2013 | Retrieval Number: B0373012213 /2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Reliability is control and prevention of failures to reduce failure and improve operations by enhancing performance with system-level analysis and modelling are needed not only for predictability and comparability when partitioning end-to-end functions at design time levels of reliability. Reliability numbers by themselves will not motivate improvements, performance of two fault tolerant mechanisms dealing with repairable and non-repairable components that have failed. The improvement in the reliability and safety of a system with repairable components with respect to the fault tolerant systems under study correspond to a flexible arrangement of fault tolerant units (FTU’s). SFAS (Safety Fault tolerant Automotive Systems) and ECU are being compared to achieve effective results. Reliability principles are discussed which assist system improvement for reducing the high unreliability. CAN Controllers are used in automotive for fault tolerant embedded system. The existing reliability enhancement models are emphasizing various redundancy techniques both in hardware and software without focusing a formal way of recovery time minimization from the affected or degraded states in the automotive systems.
Keywords: Automotive Embedded Systems, SFAS, FT CAN

Scope of the Article: Structural Reliability Analysis