A graph embedding based fault detection framework for process systems with multi-variate time-series datasets

Due to the enormous potential of modelling, graph-based approaches have been used for various applications in the process industries. In this study, we propose a fault detection framework through graphs by utilising its attributes in the form of node embeddings. Shallow embedding methods are deploye...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Umang Goswami, Jyoti Rani, Hariprasad Kodamana, Prakash Kumar Tamboli, Parshotam Dholandas Vaswani
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2024-03-01
Цуврал:	Digital Chemical Engineering
Нөхцлүүд:	Graph machine learning Fault detection Embeddings Variational auto-encoder Reconstruction loss
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S2772508123000534
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!