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Modern methods in engine knock signal detection


Witwit, Azher Razzak and Yasin, Azman and Abas, Mohd Azman and Gitano, Horizon (2013) Modern methods in engine knock signal detection. Procedia Technology, 11. pp. 40-50. ISSN 2212-0173

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Abstract

In this paper, a review is given of some of the modern methods in the detection of knock in internal-combustion engines and some comparisons are made between these methods and the effectiveness of each one of them is indicated through a statement of the advantages and disadvantages of each method. In this way it will be possible to clarify how to deal with the original signal and the associated signal noise through some of the modern algorithms in the field of soft computing such as an Artificial Neural Network (ANN), Genetic Algorithms (GA), Wavelet Transform (WT), Fuzzy logic, Supported Vector Machine (SVM) and some statistical methods.

Item Type: Article
Uncontrolled Keywords: Artificial Neural Network; Fuzzy logic; Genetic Algorithms; Supported Vector Machine; Wavelet Transform.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Azman Yasin
Date Deposited: 06 Jul 2015 06:55
Last Modified: 06 Jul 2015 06:55
URI: http://repo.uum.edu.my/id/eprint/14749

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