针对传统深度学习网络模型在变工况条件下的故障诊断泛化能力差的问题,
提出一种基于迁移学习的双向长短时记忆网络和注意力机制(TLBA) 融合的故障识别方法 …

Field and experimental data on aquatic ecosystem species show the effect of fear on
changing prey demographics. The fear effect has an impact on aquatic ecosystems, such as …

In industrial process monitoring, it is always a challenging and practical problem to analyze
the causes of the system fault by isolating true fault variables from vast amounts of process …

针对传统深度学习网络模型在变工况条件下的故障诊断泛化能力差的问题,
提出一种基于迁移学习的双向长短时记忆网络和注意力机制 (TLBA) 融合的故障识别方法 …

Fault detection plays an important role in identifying abnormalities in high-cost, large-scale
industrial processes. Clustering in combination with dimensionality reduction is a common …

Flexible manufacturing processes, which are considered as being crucial to the fourth
industrial revolution, are playing more and more essential role in modern industry nowaday …