A novel fuzzy-logic based data treatment framework is proposed for the detection of outliers in process data. The proposed method incorporates outlier detection parameters into a fuzzy strategy. The method utilizes Hampel identifier for screening and …
A novel fuzzy-logic based data treatment framework is proposed for the detection of outliers in process data. The proposed method incorporates outlier detection parameters into a fuzzy strategy. The method utilizes Hampel identifier for screening and …
To implement on-line process monitoring techniques that utilize principal component analysis (PCA) or partial least squares (PLS) models, it is important to use reliable data that represents normal process operation when constructing the models. In …
To implement on-line process monitoring techniques that utilize principal component analysis (PCA) or partial least squares (PLS) models, it is important to use reliable data that represents normal process operation when constructing the models. In …