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Ozone measurements monitoring using data-based approach

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Figure

Fig. 1 – Example of daily ozone concentrations. 01h:00 04h:45 09h:45 14h:45 19h:45 00h:45 05h:45050100150200 TimeY= Ozone ( micro g/m³ ) ND2 SRC BROGRVLILTANQUI (a)Anomaly 02h:45 07h:45 12h:45 17h:45 22h:45 03h:45−50050100150200250300350400 Time  Ozone (mi
Fig. 4 – Principle of PCA.
Fig. 5 – Geometric principle of PCA.
Table 1 – PCA-based MEWMA fault detection algorithm.
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