Process diagnosis based on qualitative trend similarities using a sequence matching algorithm

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orcId Gamero Argüello, Francisco Ignacio​ ​ scopusId Gamero Argüello, Francisco Ignacio​ ​
Gamero Argüello, Francisco Ignacio
orcId Meléndez i Frigola, Joaquim​ ​ scopusId Meléndez i Frigola, Joaquim​ ​
Meléndez i Frigola, Joaquim
orcId Colomer Llinàs, Joan​ researcherId Colomer Llinàs, Joan​ scopusId Colomer Llinàs, Joan​ ​
Colomer Llinàs, Joan
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This paper focuses on process diagnosis based on symptoms described by qualitative trends extracted from signals. Main contributions are a new similarity algorithm between qualitative sequences and a generalised approach for on-line diagnosis based on that similarity measure. Process situations are identified by converting sensor time series into qualitative sequences and comparing them with those corresponding to known faulty states. Performance of this approach has been evaluated on line in a steam generator plant ​
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