Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Caiyun Hao"'
Publikováno v:
IEEE Access, Vol 12, Pp 82911-82925 (2024)
Effective fault diagnosis is crucial for ensuring the safe and reliable operation of machinery. Despite satisfactory achievements of deep learning in fault diagnosis, acquiring large labeled datasets remains a challenge in practical industrial scenar
Externí odkaz:
https://doaj.org/article/4db40e91464c41c09177e00231770d86
Publikováno v:
PLoS ONE, Vol 19, Iss 9, p e0309156 (2024)
In this study, we conducted two heat treatment processes, namely double aging (DA) and solid solution followed by double aging (SA), on the Inconel 718 alloy fabricated by selective laser melting (SLM). The aim was to investigate the microstructure e
Externí odkaz:
https://doaj.org/article/9b1d79703daa4a66bfe1a33e7b1307cc
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292381 (2023)
Learning powerful discriminative features is the key for machine fault diagnosis. Most existing methods based on convolutional neural network (CNN) have achieved promising results. However, they primarily focus on global features derived from sample
Externí odkaz:
https://doaj.org/article/c07fd2dd94df435da67fcaf7145719d1
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 38, Iss 2, Pp 131-136 (2017)
Elastic beam is a kind of mathematical model in elastic mechanics and engineering physics. For now, this type of model is often used in real life. On the basis of the relative research on the elastic beam equations with one end fixed and one end slid
Externí odkaz:
https://doaj.org/article/56d69a04f6f942cb81c86ee7e82bbdc1