首页> 外国专利> PRODUCT PERFORMANCE PREDICTION MODELING METHOD AND APPARATUS, COMPUTER DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND PRODUCT PERFORMANCE PREDICTION METHOD AND PREDICTION SYSTEM

PRODUCT PERFORMANCE PREDICTION MODELING METHOD AND APPARATUS, COMPUTER DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND PRODUCT PERFORMANCE PREDICTION METHOD AND PREDICTION SYSTEM

机译:产品性能预测建模方法和装置,计算机设备,计算机可读存储介质以及产品性能预测方法和预测系统

摘要

Provided are a product performance prediction modeling method and apparatus, a product performance prediction method, a product performance prediction system, a computer device, and a storage medium. The product performance prediction modeling method includes: acquiring first sample data, wherein the first sample data includes device outlier data generated in a process of manufacturing a product by a device; acquiring a production line configuration simulation parameter of a production line where the device is located, and product information of the product manufactured by the production line; selecting a simulation model to perform simulation test on the performance of the product, so as to obtain product performance simulation data; and inputting the 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, so as to obtain a product performance prediction model. The foregoing product performance prediction modeling method and apparatus, product performance prediction method, product performance prediction system, computer device and storage medium can accurately predict product performances during device exception.
机译:提供一种产品性能预测建模方法和装置,产品性能预测方法,产品性能预测系统,计算机设备和存储介质。产品性能预测建模方法包括:获取第一样本数据,其中,所述第一样本数据包括在设备制造产品的过程中生成的设备异常数据;获取设备所在生产线的生产线配置仿真参数,以及该生产线生产的产品的产品信息;选择仿真模型对产品性能进行仿真测试,以获得产品性能仿真数据;将设备离群数据,生产线配置模拟参数,产品信息和产品性能模拟数据输入到机器学习模型中进行机器学习训练,得到产品性能预测模型。上述产品性能预测建模方法和装置,产品性能预测方法,产品性能预测系统,计算机设备和存储介质可以在设备异常期间准确地预测产品性能。

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