An Advanced Broyden–Fletcher–Goldfarb–Shanno Algorithm for Prediction and Output-Related Fault Monitoring in Case of Outliers

Figure 1

Influence of different values of the parameter in the weighted center on the distance between the weighted center and real center. Each graph contains five curves with random outliers. (a) The normal point contains a 5% abnormal value, and the abnormal value is 0.5 of the normal value. (b) The normal point contains a 10% abnormal value, and the abnormal value is 0.5 of the normal value. (c) The normal point contains a 15% abnormal value, and the abnormal value is 0.5 of the normal value. (d) The normal point contains a 5% abnormal value, and the abnormal value is 1.5 of the normal value. (e) The normal point contains a 10% abnormal value, and the abnormal value is 1.5 of the normal value. (f) The normal point contains a 15% abnormal value, and the abnormal value is 1.5 of the normal value.

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