Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network

Time series is a popular data type that is collected from various machines for fault diagnosis. Although most time-series models for fault diagnosis reflect local relations well, they cannot extract the global patterns that contain valuable information that can be used to recognize faults. To reflec...

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Vydané v:	Annals of operations research Ročník 339; číslo 1-2; s. 813 - 833
Hlavní autori:	Lee, Sangho, Choi, Jeongsub, Son, Youngdoo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.08.2024 Springer Nature B.V
Predmet:	Algorithms Artificial neural networks Business and Management Combinatorics Computational efficiency Computing costs Cost analysis Data points Fault diagnosis Graphs Operations Research/Decision Theory Original Research Pattern recognition Rotating machinery Theory of Computation Time series Visibility Deep learning Fault diagnosis High-frequency time series Graph convolutional network Visibility algorithms
ISSN:	0254-5330, 1572-9338
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