Resumo

LLANOS, D et al. Recognition of system behaviours based on temporal series similarity. Comp. y Sist. [online]. 2003, vol.7, n.1, pp.1-16. ISSN 2007-9737.

There are different approaches to the temporal study of time evolving systems. This paper reviews previous works related to time series and it evaluates three approaches focused to the comparison of these type of series. Two approaches are based on the principles of Dynamic Time Warping algorithm (DTW) and one of them uses qualitative representation based on episodes. Both strategies are discussed and applied to a tank system diagnosis and retrieval of registers of perturbations gathered in a electric distribution substation. The third approach uses a similarity index defined by qualitative labels. Each label represents a range of values that, from a qualitative perspective, we may consider similar. This approach is tested with two datasets. This study is completed with a evaluation of noise and other possible labellings.

Palavras-chave : Temporal series; Time-series Analysis; Qualitative Analysis; Dynamic Programming; Shapes; Qualitative Knowledge; Noise.

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