A data-driven machining errors recovery method for complex surfaces with limited measurement points

Measurement（2021）

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摘要

•A composite kernel based GP and image SR are combined in machining error recovery.•The uncertainty of GP is combined into the CAS to constitute a DAB.•This method shows superior recovery performance with a low sampling rate.•This method meets practical requirement with a little of computing time.

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关键词

Gaussian processes,Super resolution,Machining errors,Low sampling rate,Dual attention mechanism

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