Modern methods in engine knock signal detection
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. I...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier B.V.
2013
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/14749/1/8.pdf |
| _version_ | 1825803417204817920 |
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| author | Witwit, Azher Razzak Yasin, Azman Abas, Mohd Azman Gitano, Horizon |
| author_facet | Witwit, Azher Razzak Yasin, Azman Abas, Mohd Azman Gitano, Horizon |
| author_sort | Witwit, Azher Razzak |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T05:56:41Z |
| format | Article |
| id | uum-14749 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:56:41Z |
| publishDate | 2013 |
| publisher | Elsevier B.V. |
| record_format | eprints |
| spelling | uum-147492015-07-06T06:55:07Z https://repo.uum.edu.my/id/eprint/14749/ Modern methods in engine knock signal detection Witwit, Azher Razzak Yasin, Azman Abas, Mohd Azman Gitano, Horizon QA76 Computer software 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. Elsevier B.V. 2013 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/14749/1/8.pdf 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 http://doi.org/10.1016/j.protcy.2013.12.160 doi:10.1016/j.protcy.2013.12.160 doi:10.1016/j.protcy.2013.12.160 |
| spellingShingle | QA76 Computer software Witwit, Azher Razzak Yasin, Azman Abas, Mohd Azman Gitano, Horizon Modern methods in engine knock signal detection |
| title | Modern methods in engine knock signal detection |
| title_full | Modern methods in engine knock signal detection |
| title_fullStr | Modern methods in engine knock signal detection |
| title_full_unstemmed | Modern methods in engine knock signal detection |
| title_short | Modern methods in engine knock signal detection |
| title_sort | modern methods in engine knock signal detection |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/14749/1/8.pdf |
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