基于贝叶斯多源数据融合的小子样产品性能状态评估方法OACSTPCD

In order to solve the problem of less test data available in the process of performance state evaluation of small sam-ple products.The engine performance parameters of small sample product is analyzed,the performance state parameter and state di-vision are set.The Bayesian multi-source data fusion theory is used to fuse the test data of the engine of the product to be evaluated and the test data of the engines of other products of the same type and batch to obtain the fusion prior and fusion posterior of the per-formance state parameter.The Bayesian estimation of performance state parameter is carried out by using fusion posterior.Combined with the estimated value and state division,the performance evaluation of the engine of the small sample product is completed,which provides a new idea for the overall performance state evaluation of the small sample products.