Author:Â Shankar N. Dandare
Abstract:Â Fault detection and isolation has gained growing importance for vehicle safety and reliability. In this paper Fault Detection in a Four Stroke (FS) motor Cycle engine has been proposed. Primary objective of this paper is to propose a smart as well as robust method for Fault Detection (FD) in automobile engines by using the Artificial Neural Network (ANN) based classifiers, which is able to detect the multiple faults in an incipient stage. Novelty of this proposed system is to reduce requirement of multiple sensors to a single sensor in order to detect multiple faults.
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