A data-driven adaptive algorithm and decision support design of multisensory information fusion for prognostics and health management applications

Multisensory systems play a critical role in prognostics and health management (PHM), and utilise the information from multi-device synchronous measurements for fault diagnosis and predictive maintenance. But it is not suitable for specific systems with limited bandwidth and energy reservoirs since...

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Vydané v:	Journal of engineering design Ročník 34; číslo 2; s. 158 - 179
Hlavní autori:	Xie, Tingli, Huang, Xufeng, Park, Hyung Wook, Kim, Heung Soo, Choi, Seung-Kyum
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 01.02.2023 Taylor & Francis Ltd
Predmet:	Adaptive algorithms Artificial neural networks Data integration Data-driven adaptive decision support design Fault diagnosis Feature extraction Functional analysis Measuring instruments Multisensor fusion multisensory information fusion Predictive maintenance prognostics and health management Qualitative analysis Sensors Systems analysis
ISSN:	0954-4828, 1466-1837
On-line prístup:	Získať plný text
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