Modern methods in engine knock signal detection

• Main Authors: Witwit, Azher Razzak, Yasin, Azman, Abas, Mohd Azman, Gitano, Horizon
• Format: Article
• Language: English
• Published: Elsevier B.V. 2013
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/14749/1/8.pdf; http://repo.uum.edu.my/14749/; http://doi.org/10.1016/j.protcy.2013.12.160

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.