Defect detection and identification in eddy current testing using subtractive clustering algorithm combined with RBFNN

By Banteng Liu   Dibo Hou   Baoling Liu   Ling Zhao   Pingjie Huang   Guangxin Zhang  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 56, Iss. 7, 2014-07 ,pp. : 375-380

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

A new type transducer for torsional guided wave generation and its application to defect detection in pipes

By Zenghua Liu   Bin Wu   Cunfu He   Xiuyan Wang   Shiming Yang  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 1, 2007-01 ,pp. : 41-43

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

Automatic segmentation of time-of-flight diffraction images using time-frequency techniques application to rail-track defect detection

By Zahran O   Al-Nuaimy W  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 46, Iss. 6, 2004-06 ,pp. : 338-343

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

Defect detection in rails using ultrasonic surface waves

By Hesse D   Cawley P  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 6, 2007-06 ,pp. : 318-326

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

Using empirical mode decomposition and a fuzzy algorithm for the analysis of weld defect images

By  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 57, Iss. 1, 2015-01 ,pp. : 35-39

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite