A methodology for fault propagation analysis based on nearest neighbors method combined with the information on process connectivity

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionProfessional

15 Lataukset (Pure)

Abstrakti

Industrial systems often encounter abnormal conditions involving multiple process components.
In such cases, it is essential to detect and eliminate the root cause of the faulty condition as early as possible in order to minimize its adverse effect on the entire process. Investigating the causal dependencies among the process variables can assist in retracing the fault propagation path and ultimately the root cause.
In recent times, several data-based methods have been developed and were successfully applied in order to capture causality. However, data-based methods suffer from several limitations and deficiencies. This paper proposes a new methodology for implementing the nearest neighbors method in order to retrace the propagation path of a fault in a complex system. The methodology is implemented in two phases. In phase I, the information on the process connectivity is incorporated into the data-based analysis using a unique search algorithm in order to consider only the interactions which are direct based on the plant topology. In phase II, a new multivariate directionality measure is introduced in order to exclude indirect paths and is applied in conjunction with the search algorithm. The methodology is successfully demonstrated on an industrial board machine exhibiting oscillations in its drying section.
AlkuperäiskieliEnglanti
OtsikkoAutomaatiopäivät22
KustantajaSuomen Automaatioseura
Sivut1-6
Sivumäärä6
TilaJulkaistu - 23 maaliskuuta 2017
OKM-julkaisutyyppiD3 Ammatillisen konferenssin julkaisusarja
TapahtumaAutomaatiopäivät - Vaasa, Suomi
Kesto: 23 maaliskuuta 201724 maaliskuuta 2017
Konferenssinumero: 22

Julkaisusarja

NimiAutomaatiopäivät22 Proceedings
KustantajaSuomena Automaatioseura

Conference

ConferenceAutomaatiopäivät
MaaSuomi
KaupunkiVaasa
Ajanjakso23/03/201724/03/2017

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  • Siteeraa tätä

    Landman, R., & Jämsä-Jounela, S-L. (2017). A methodology for fault propagation analysis based on nearest neighbors method combined with the information on process connectivity. teoksessa Automaatiopäivät22 (Sivut 1-6). (Automaatiopäivät22 Proceedings). Suomen Automaatioseura.