Research of examining steel wire with no damaging method

Author

Guihong, Feng ; Xiang, Yang ; Yifan, Zeng ; Bingyi, Zhang

Author_Institution

Dept. of Electr. Eng., Shenyang Univ. of Technol.

Volume

3

fYear

2005

fDate

29-29 Sept. 2005

Firstpage

2245

Abstract

This paper describes the principles and methods of detecting localized flaws in wire ropes by measuring leakage flux. Wavelet transformation and neural network are used to analyze and process the signals from the broken wires in a steel rope in order to improve the accuracy and sensitivity of control device. In the meantime, it introduces detailedly the method of using wavelet transformation to gain signal eigenvalue and using neural network to establish the model of discerning quantificationally broken wires

Keywords

eigenvalues and eigenfunctions; electrical engineering computing; flaw detection; neural nets; steel; wavelet transforms; wires; Research of examining steel wire with; broken wires; eigenvalue; leakage flux measurement; localized flaws detection; neural network; steel rope; steel wire; wavelet transformation; Leak detection; Magnetic analysis; Magnetic flux; Magnetic sensors; Mercury (metals); Neural networks; Signal analysis; Steel; Testing; Wire; broken wires; neural network; steel wire rope; wavelet transformation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on

Conference_Location

Nanjing

Print_ISBN

7-5062-7407-8

Type

conf

DOI

10.1109/ICEMS.2005.202967

Filename

1575164