Engines condition monitoring based on spectrum analysis of sound signals

Author

Samat, Shareen Azua ; Tahir, Shahirina Mohd ; Sha´Ameri, Ahmad Zuri

Author_Institution

Fac. of Electr. Eng., Universiti Teknologi Malaysia, Skudai, Malaysia

Volume

2

fYear

2001

fDate

2001

Firstpage

735

Abstract

This paper proposes the use of spectrum estimation with cross spectrum correlation to monitor the condition of automotive engines based on their sound signatures. This approach is convenient and economical as it is nonintrusive and does not require high precision sensors, The nonparametric spectrum estimation is chosen because the sample available is sufficiently large such that there is no leakage and frequency resolution problem. The methods chosen are periodogram, Bartlett, Welch and Blackman-Tukey

Keywords

condition monitoring; correlation methods; internal combustion engines; mechanical engineering computing; nonparametric statistics; signal sampling; spectral analysis; vibration measurement; Bartlett method; Blackman-Tukey method; Welch method; automotive engine; condition monitoring; cross spectrum correlation; nonintrusive approach; nonparametric spectrum estimation; periodogram; sound signals; sound signatures; spectrum analysis; Automotive engineering; Condition monitoring; Engine cylinders; Frequency; Internal combustion engines; Protons; Signal analysis; Signal processing; Signal resolution; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and its Applications, Sixth International, Symposium on. 2001

Conference_Location

Kuala Lumpur

Print_ISBN

0-7803-6703-0

Type

conf

DOI

10.1109/ISSPA.2001.950253

Filename

950253