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An Intelligent Approach for Fault Estimation and Fault Tolerance Control in Automotive Systems.

Author(s):

Tushar S. Khadse , GHRCE Nagpur; Swapnili Karmore, GHRCE Nagpur

Keywords:

ABS, Inbuilt-BIST, Fault Estimation, Fault Tolerance

Abstract

The proposed system increased the performance of an existing ABS system in automation field. In the automotive field, Vehicles plays very important role while ABS in that one of the safety critical parameter. In this project emphasis on ABS safety parameters as well as general parameters of car which indirectly affects the system. Fault Estimation and Fault Tolerance Control mechanism for ABS system is used for detection and controlling of multiple faults having hard real time based faults and normal faults. ABS system prevents locking up of wheels when applied the brakes. The ABS helps to maintain steering control for driver under sudden and fast braking and in some situations, to minimize the braking distances. In project Anti-lock braking system (ABS) is particularly taking real time inputs from system. The proposed system provides intelligent approach for fault estimation and fault tolerance control in the automation field. Fault estimation is an interesting and powerful technique, which may accomplish number of tasks within a step such as Fault identification, detection & isolation. Fault tolerance is the property that allows a system to continue work efficiently and properly even system comes in faults phase. So some parameter will be estimated such as Speed Fault, Breaking fault (when brakes are applied), Fuel Reading fault and Engine Temperature fault. By considering above estimated parameter, this project built a reliable Fault Tolerant System for Safety Critical Application. These Faults parameter can be estimated by incorporating newly BIST as an inbuilt in the ABS and design of such inbuilt BIST itself provide provision for testing. The advantage of this project is to maximize the limit of the fault tolerance in the system.

Other Details

Paper ID: IJSRDV4I20236
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 593-597

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