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Investigation On Perodua Sound Signatures Using Joint-Time-Frequency Analysis

Mohd Zaifulhaznizam , Mohd Zin (2006) Investigation On Perodua Sound Signatures Using Joint-Time-Frequency Analysis. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This investigation proposes the used of Joint Time Frequency techniques to analyze Perodua Engine Sound Signatures. All engines emit sounds that have a unique signature that can be used for classification and diagnostic purposes. A computerized interpretation of engine sound signatures is needed to make the diagnosing more effective. Spectrum analysis is now firmly involved in the areas of telecommunications, acoustic and others. including with the engine sound processing. ln this work a new approach of engine sound processing has been developed by using Joint-Time-Frequency-Analysis. The spectrogram technique has been tested on six Perodua engine vehicles to analyze the new criteria of engine sound signature in the form of jointly time and frequency domain. The purpose of this study was to determine whether spectrogram techniques can be differentiating between good and bad engine condition. The analysis is done by using MATLAB 7.0 interfaces. Six engines are classified; Kancil EZ660, Kancil EX850 , Kelissa, Kembara. Rusa and Kenari . The advantage of the Joint Time Frequency analysis is its computational simplicity, so it cab be used to construct computer analysis system for Perodua Engine signature. Thus, all automobile industry can be benefit from this research because it provides solution in diagnosing vehicles engines

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Frequency spectra, Signal processing, Time-series analysis
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKEKK
Depositing User: Nor Ridzuan S.Kasehan
Date Deposited: 26 Jun 2013 14:51
Last Modified: 28 May 2015 03:56
URI: http://digitalcollection.utem.edu.my/id/eprint/8403

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