An Efficient Numerical Scheme for Sizing of Cavity Defect in Metallic Foam From Signals of DC Potential Drop Method
Publisher:
Year
: 2014DOI: 10.1109/TMAG.2013.2283491
Keyword(s): bubbles,conjugate gradient methods,inverse problems,metal foams,neural nets,nondestructive testing,DC potential drop method signals,bubble defects,cavity defect sizing,conjugate gradient optimization method,database-type fast forward scheme,hybrid inverse strategy,metallic foam structures,multimedium element,neural network,numerical scheme,position parameters,quantitative nondestructive testing,signal simulation,Artificial neural networks,Cavity resonators,Databases,Inverse
Collections
:
-
Statistics
An Efficient Numerical Scheme for Sizing of Cavity Defect in Metallic Foam From Signals of DC Potential Drop Method
Show full item record
| contributor author | Xiaojuan Wang | |
| contributor author | Shejuan Xie | |
| contributor author | Zhenmao Chen | |
| date accessioned | 2020-03-12T23:49:09Z | |
| date available | 2020-03-12T23:49:09Z | |
| date issued | 2014 | |
| identifier issn | 0018-9464 | |
| identifier other | 6749190.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1124446 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An Efficient Numerical Scheme for Sizing of Cavity Defect in Metallic Foam From Signals of DC Potential Drop Method | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8303986 | |
| subject keywords | bubbles | |
| subject keywords | conjugate gradient methods | |
| subject keywords | inverse problems | |
| subject keywords | metal foams | |
| subject keywords | neural nets | |
| subject keywords | nondestructive testing | |
| subject keywords | DC potential drop method signals | |
| subject keywords | bubble defects | |
| subject keywords | cavity defect sizing | |
| subject keywords | conjugate gradient optimization method | |
| subject keywords | database-type fast forward scheme | |
| subject keywords | hybrid inverse strategy | |
| subject keywords | metallic foam structures | |
| subject keywords | multimedium element | |
| subject keywords | neural network | |
| subject keywords | numerical scheme | |
| subject keywords | position parameters | |
| subject keywords | quantitative nondestructive testing | |
| subject keywords | signal simulation | |
| subject keywords | Artificial neural networks | |
| subject keywords | Cavity resonators | |
| subject keywords | Databases | |
| subject keywords | Inverse | |
| identifier doi | 10.1109/TMAG.2013.2283491 | |
| journal title | Magnetics, IEEE Transactions on | |
| journal volume | 50 | |
| journal issue | 2 | |
| filesize | 530741 | |
| citations | 0 |