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Mechanical condition monitoring of impulsively loaded equipment using neural networks
Thesis   Open access

Mechanical condition monitoring of impulsively loaded equipment using neural networks

T. Snyman
M.Ing., University of Johannesburg
11/02/2014
Handle:
https://hdl.handle.net/10210/9203

Abstract

Pattern recognition systems Electric circuits - Maintenance and repair
M.Ing. Please refer to full text to view abstract
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