讨论了利用人工智能技术来实现生产过程故障检测与诊断的原理。
The principle of artificial intelligence used in fault detection and diagnosis in the process of production was discussed.
为了更好的进行故障检测与诊断，介绍了主元分析(PCA)理论，给出了基于主元分析的过程故障辨识机理及策略。
For the sake of better carrying on fault detection and diagnosis, introduced the theory of principal component analysis (PCA) and the mechanism and strategy based on PCA for the fault of process.
针对轧钢加热炉这类典型的工业生产过程，运用多元统计投影技术进行了故障检测与诊断的研究。
In this paper, PCA and statistical control chart have been used to detect process operating faults on an industrial rolling mill reheating furnace.
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