Abstract
Due to high precision requirements and high machining value, the high-end aerospace manufacturing industry has put forward higher requirements for the stability of machining tools. In this paper, the Bayesian algorithm is used to obtain sample information through experiments, and the sample information and prior information are effectively fused to estimate the parameters. Finally, the stability of a domestic blade can be improved by 8.76%.
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