Journal of Engineering and Applied Sciences

Year: 2016
Volume: 11
Issue: 11
Page No. 2479 - 2484

Fault Classification in Transmission Line Using Support Vector Machine (SVM) and Wavelet Features

Authors : Mat Nizam Mahmud, Mohamad Nizam Ibrahim, Muhammad Khusairi Osman and Zakaria Hussain

Abstract: Welded joints are widely used in automotive industry in order to form a complete vehicle. The welded joints not only provide connections between components but are essential in controlling the dynamic characteristics of the vehicle. The dynamic characteristic of the vehicle is highly influenced on determining the level of car Noise, Vibration and Harshness (NVH) performance. Since, the characteristics of the welded joints plays a significant in the dynamic characteristics of vehicle structures, the accurate predictive models of the joints is vitally important. Hence, in this study, the feasibility of usage of connector elements such as ACM2, CWELD and CFAST on Door In White (DIW) structure is investigated. The study highlight on the influence and feasibility of each connector elements to produce correlated response with measured data. Correlation level between the predicted results and measured data were assessed through frequency deviation and MAC value.

How to cite this article:

Mat Nizam Mahmud, Mohamad Nizam Ibrahim, Muhammad Khusairi Osman and Zakaria Hussain, 2016. Fault Classification in Transmission Line Using Support Vector Machine (SVM) and Wavelet Features. Journal of Engineering and Applied Sciences, 11: 2479-2484.

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