A fault detection and diagnosis approach based on nonlinear parity equations and its application to leakages and blockages in the drying section of a board machine

Alexey Zakharov, Vesa-Matti Tikkala, Sirkka-Liisa Jämsä-Jounela

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

10 Sitaatiot (Scopus)
128 Lataukset (Pure)

Abstrakti

This study aims at providing a fault detection and diagnosis (FDD) approach based on nonlinear parity equations identified from process data. Process knowledge is used to reduce the process nonlinearity from high to low-dimensional nonlinear functions representing common process devices, such as valves, and incorporating the monotonousness properties of the dependencies between the variables. The fault detection approach considers the obtained process model to be nonlinear parity equations, and fault diagnosis is carried
out with the standard structured residual method. The applicability of the approach to complex flow networks controlled by valves is tested on the drying section of an industrial board machine, in which the key problems are leakages and blockages of valves and pipes in the steam-water network. Nonlinear model equations based on the mass balance of different parts of the network are identified and validated. Finally, fault detection and diagnosis algorithms are successfully implemented, tested, and reported.
AlkuperäiskieliEnglanti
Sivut1380-1393
JulkaisuJournal of Process Control
Vuosikerta23
Numero9
DOI - pysyväislinkit
TilaJulkaistu - 2013
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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