Insight - Non-Destructive Testing and Condition Monitoring

Comment
pp. 134-135(2)
Author: Newton, Keith

Fatigue strength of hybrid joined multi-material structures: Fraunhofer LBF identifies high potential for lightweight design
pp. 136-140(5)

Quantitative weld defect sizing using convolutional neural network-aided processing of RT images
pp. 141-145(5)
Authors: Mirzapour, M; Movafeghi, A; Yahaghi, E

Defect identification based on wavelet decomposition for MFL non-destructive inspection of steel plates
pp. 146-150(5)
Author: Slesarev, D

Machine learning-aided identification of train weights from railway sleeper vibration
pp. 151-159(9)
Authors: Kaewunruen, S; Sresakoolchai, J; Thamba, A

A clustering K-SVD-based sparse representation method for rolling bearing fault diagnosis
pp. 160-167(8)
Authors: Yu, Qingwen; Li, Jimeng; Li, Zhixin; Zhang, Jinfeng

Ball bearing fault detection via multi-sensor data fusion with accelerometer and microphone
pp. 168-175(8)
Authors: Safizadeh, M S; Golmohammadi, A

International Diary
pp. 176-180(5)

NDT Info
pp. 181-188(8)

Product Showcase
pp. 189-191(3)

Corporate Members/Index to Advertisers
pp. 192-192(1)