期刊


ISSN1354-2575
刊名Insight
参考译名内情
收藏年代1998~2023

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2021, vol.63, no.1 2021, vol.63, no.1 Suppl. 2021, vol.63, no.10 2021, vol.63, no.11 2021, vol.63, no.11 Suppl. 2021, vol.63, no.11 Suppl.1
2021, vol.63, no.12 2021, vol.63, no.12 Suppl. 2021, vol.63, no.2 2021, vol.63, no.3 2021, vol.63, no.4 2021, vol.63, no.5
2021, vol.63, no.5 Suppl. 2021, vol.63, no.6 2021, vol.63, no.7 2021, vol.63, no.8 2021, vol.63, no.9

题名作者出版年年卷期
COMMENTNewton, Keith20212021, vol.63, no.3
Quantitative weld defect sizing using convolutional neural network-aided processing of RT imagesMirzapour, M.; Yahaghi, E.; Movafeghi, A.20212021, vol.63, no.3
Machine learning-aided identification of train weights from railway sleeper vibrationKaewunruen, S.; Sresakoolchai, J.; Thamba, A.20212021, vol.63, no.3
Ball bearing fault detection via multi-sensor data fusion with accelerometer and microphoneSafizadeh, M. S.; Golmohammadi, A.20212021, vol.63, no.3
Guidance to support the engineering profession in achieving a more sustainable future 20212021, vol.63, no.3
Defect identification based on wavelet decomposition for MFL non-destructive inspection of steel platesSlesarev, D.20212021, vol.63, no.3
Zeiss revolutionising customised automation in microscopy 20212021, vol.63, no.3
A clustering K-SVD-based sparse representation method for rolling bearing fault diagnosisYu, Qingwen; Li, Jimeng; Li, Zhixin; Zhang, Jinfeng20212021, vol.63, no.3
Fatigue strength of hybrid joined multi-material structures: Fraunhofer LBF identifies high potential for lightweight design 20212021, vol.63, no.3