CPC G05B 19/41875 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01); G05B 2219/32194 (2013.01)] | 17 Claims |
1. A product performance prediction modeling method, comprising:
acquiring first sample data, the first sample data including first device outlier data generated in a process of manufacturing a product by a device;
acquiring product information and a production line configuration simulation parameter of a production line relating to location of the device, the product information being product information of the product manufactured by the production line;
selecting a product performance simulation model to perform a simulation test on a performance of the product to obtain product performance simulation data, wherein the product performance simulation model is selected according to the first device outlier data, the production line configuration simulation parameter and the product information; and
inputting the first device outlier data, the production line configuration simulation parameter, the product information and the product performance simulation data into a machine learning model to perform machine learning training to obtain a product performance prediction model.
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