主元分析(PCA)作为数据驱动的一种统计建模方法，在化工产品质量控制与故障诊断方面得到广泛研究和应用。
Principal component analysis (PCA) has found wide application in chemical process monitoring and product quality control as a data-driven modeling method.
然后再由铋精矿制取铋的化工产品，这些铋品中的金属杂质元素含量都达到分析纯要求，有少量产品阴离子纯度有待提高。
Thecontents of metal impurities in the bismuth products obtain the standards of the analysis reagent and the contents of anions obtain the standard of the grade of chemical purity.
它们作为标准物质主要应用于化工产品成分分析和环境化学分析中的仪器校准、方法评价或仲裁分析的工作标准。
Being Reference Materials, they are chiefly applied of work standards in instrument calibration, method opinion or arbitration of chemical and environmental analysis.
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