Novel Causal Digraph Reasoning For Fault Diagnosis with Application on the Paper Machine Short Circulation Process

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

Organisaatiot

Kuvaus

This paper presents an enhanced dynamic causal digraph reasoning method for fault diagnosis and its application to the short circulation process of a paper machine. In order to improve the isolation capability of the original method, an inference mechanism between the arcs of the graph is proposed to locate process faults on the arcs. Application of the proposed method to the paper machine short circulation process is presented at the end of the paper. The results show that the proposed method is able to identify the responsible arcs when the system is affected by a process fault.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut11118-11123
JulkaisuIFAC PROCEEDINGS VOLUMES
Vuosikerta41
Numero2
TilaJulkaistu - 2008
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIFAC World Congress - Seoul, Etelä-Korea
Kesto: 6 heinäkuuta 200811 heinäkuuta 2008
Konferenssinumero: 17

    Tutkimusalat

  • Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation

ID: 36371749