Adaptive noise cancelling applied to machine condition monitoring

Master Thesis

1990

Permanent link to this Item
http://hdl.handle.net/11427/8349
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thesis_ebe_1990_bremer_pg.pdf (5.72 MB)
Authors
Bremer, Paul Graham
Supervisors
Jongens, A W D
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Publisher

University of Cape Town

Department
Department of Electrical Engineering
Faculty
Faculty of Engineering and the Built Environment
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Abstract
The objective of this thesis is to determine whether Adaptive Noise Cancelling can be used successfully in determining the state of machine elements. In addition, this thesis was used to gain experience in real-time computing. This was done by designing and building a real-time machine monitoring package using an IBM PC and a TMS 320C25 digital signal-processing chip manufactured by Texas Instruments. To determine which adaptive algorithm should be used in the package, experiments were carried out on a computer with different types of adaptive noise cancelling algorithms, the two main ones being the Least-Mean-Squares (LMS) and Recursive-Least-Squares (RLS) algorithms.
Description

Includes bibliography.

Keywords
Electrical and Electronic Engineering

Reference:

Bremer, P. 1990. Adaptive noise cancelling applied to machine condition monitoring. University of Cape Town.

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Masters