This month's Insight

July 2021 – Vol 63 No 7 



Comment, by Dr W E Gardner

NEWSDESK: Loughborough University develops new AI tool for recognising 
and classifying wind turbine blade defects; Non-destructive inspection of large components taken to the next level; Hitachi High-Tech opens state-of-the-art production facility in Shanghai, China


FEATURES

Wheel flat detection and severity classification using deep learning techniques,

by J Sresakoolchai and S Kaewunruen

Detection and evaluation of rolling stock wheelset defects using acoustic 
emission,


by E Giannouli, M Papaelias, A Amini, Z Huang, V L Jantara Junior, S Kerkyras, 
P Krusuansombat, F P Garcia Marquez and P Vallely


Improving the robustness of DI and PVI further using fast guided filter on 
radiographic images,

by Changying Dang, Jiansu Li, Zhiqiang Zeng, Wenhua Du and Rijun Wang

Optimising sensor pitch for magnetic flux leakage imaging systems,

by R Murshudov, J M Watson, C W Liang, J Sexton and M Missous

Mechanical properties of TiO2 nanotubes investigated by AFM and FEM,
by Zuozhang Wang, Ji Zhou, Yunhong Jiang, Zhongmei Yang and Yanhuai Ding

Multivariate non-destructive evaluation for tensile strength of steel based on 
neural network,

by Junyang Tan, Dan Xia, Shiyun Dong, Honghao Zhu and Binshi Xu


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