A NEURAL-NETWORK-BASED TECHNIQUE FOR QUANTITATIVE WIRE ROPE INSPECTION

Authors
GAO HB YANG SZ YANG KC WANG YS WILKIE BA
Citation
Hb. Gao et al., A NEURAL-NETWORK-BASED TECHNIQUE FOR QUANTITATIVE WIRE ROPE INSPECTION, NDT & E international, 26(1), 1993, pp. 31-33
Citations number
4
Categorie Soggetti
Material Science",Engineering
Journal title
NDT & E international → ACNP
ISSN journal
09638695
Volume
26
Issue
1
Year of publication
1993
Pages
31 - 33
Database
ISI
SICI code
0963-8695(1993)26:1<31:ANTFQW>2.0.ZU;2-3
Abstract
The possibility of solving the problems encountered in the quantitativ e inspection of broken wires with a neural network is discussed and a new algorithm is presented. In comparison with conventional methods, t he performance of inspection is much improved with the neural network- based technique.