基于人工智能的质量缺陷预测与标准化改进方法

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Quality Defect Prediction and Standardized Improvement Method Based on Artificial Intelligence

WANG Xueyong (Linqu CountyMetrologyand Testing Institute)

Abstract: This study aims to developa qualitydefect prediction model based onartificial inteligenceby leveraging multi-source data modeling and deep learning algorithms,and optimize improvements through standardization methods to enhance the level of intelligent quality management in manufacturing.The research covers defect data colection and processing,prediction model design,standards system construction,and application efect evaluation, enabling accurate identification ofkeydefect factors toachieve defect warning and trend prediction.Inpractical cases, the modeldemonstrated high accuracy,and the improvement measures significantly enhanced the product pass rate. The results provide valuable insights for building a systematic quality management mechanism and promoting the continuous optimization of quality standards.

Keywords:artificial intelligence;quality defects; standardization; prediction model

0引言

随着制造业向智能化、精细化方向发展，质量缺陷成为制约产品竞争力提升的关键因素。（剩余4424字）