Adaptive noise cancelling applied to machine condition monitoring

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.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

1990

Author dc:creator

• Bremer, Paul Graham

Advisor dc:contributor.advisor

• Jongens, A W D

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/8349

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/8349