Abstract:Incipient fault detection has been an important research topic in the field of process monitoring. However, traditional multivariate statistical process monitoring methods fail to detect incipient faults. In this paper, two methods were developed for the incipient fault detection of a papermaking wastewater treatment process: multivariate cumulative sum combined with principal component analysis （PCA） and multivariate exponent weighted moving average combined with PCA. The results proved the effectiveness of the proposed fault monitoring methods．
