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Domain knowledge-enhanced spatio-temporal adaptive fusion network for aeroengine remaining useful life prediction
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DOI：10.1016/j.asoc.2026.116161.png)
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Abstract
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• Essential relationships among sensors are obtained by aeroengine working principle. • Essential relationships of sensor parameters are used to construct the graph-structured data. • Spatial and temporal features simultaneous extraction via DS-STAFN. • Dynamically assign the weights of spatial and temporal features via a gated mechanism.
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