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Indentification Of Noise Sources Using Principal Component Analysis

Muhamad Syamil, Kamarudin (2011) Indentification Of Noise Sources Using Principal Component Analysis. Project Report. UTeM, Melaka Malaysia. (Submitted)

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Abstract

Principal component analysis (PCA) can be used as a tool to rank the noise sources. Identification of noise sources in a room is rather difficult since the noise heard is a superposition from several noise sources. This becomes more difficult if the room is quite reverberant. A simple experiment using two loudspeaker were conducted in a room with reflective surface. It was found that as the microphones are away from the sources, identification becomes more difficult due to reflection from the walls and floors. Experiment was also conducted in a car on engine idle and on running. The results show that at the back seat of the noise is dominant from the exhaust and at the front seat, the dominant source is from the engine.

Item Type: Monograph (Project Report)
Uncontrolled Keywords: Noise -- Measurement Noise control
Subjects: T Technology > T Technology (General)
T Technology > TD Environmental technology. Sanitary engineering
Divisions: Library > Projek Sarjana Muda > FKM
Depositing User: Nik Syukran Muiz Rashid
Date Deposited: 27 Jan 2015 08:25
Last Modified: 28 May 2015 04:20
URI: http://eprints.utem.edu.my/id/eprint/11891

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