This month's Insight

Comment, by Professor K Newton

NEWSDESK: A safer, smarter approach to weld inspection: why advanced ultrasonic testing is redefining industry standards; Digital Catapult builds on the South West of England and Wales’ deep tech potential with new office


SPECIAL FEATURE: MACHINE LEARNING

Automated defect detection by deep learning algorithms from tone burst eddy current thermography data,
by A Sajjay, Krithik Krishna K, N Biju and K Balasubramaniam

Convolutional neural network with transfer learning for automated bearing fault classification based on time-frequency images,
by F Leaman and C Bastías

Intelligent detection of catenary components based on an attention-enhanced Faster R-CNN,
by Changdong Wu and Jiangchuan Lu

Damage detection algorithm and mining conveyor belt model based on GCW-YOLO,
by Hongyao Wang, Longjie Chen, Zhicheng Peng, Xiaodong Lin, Zhongkang Jin and Zichen Li

Comparative analysis of supervised learning algorithms for predictive maintenance of bearings using vibration data,
by A R Bhende

Fault diagnosis of rolling bearings grounded in SBOA optimisation of VMD parameters and Transformer-BiGRU,
by Hongwei Wang and Ning Huang

REGULAR FEATURES

International Diary
NDT Info
Product Showcase
Corporate Members/Index to Advertisers

Click here for subscription information.