Mechanical condition monitoring of impulsively loaded equipment using neural networks

Description

M.Ing. / Please refer to full text to view abstract

Links & Downloads

1. uj:3833
2. http://hdl.handle.net/10210/9203

Tags

Pattern recognition systems

Additional Fields

Identifer	oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:3833
Date	11 February 2014
Creators	Snyman, T.
Source Sets	South African National ETD Portal
Detected Language	English
Type	Thesis
Rights	University of Johannesburg