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Novel Causal Digraph Reasoning For Fault Diagnosis with Application on the Paper Machine Short Circulation Process
- Source :
- IFAC Proceedings Volumes. 41:11118-11123
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
Abstract
- 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.
- Subjects :
- Engineering
business.product_category
business.industry
Process (computing)
Inference
Digraph
computer.software_genre
Fault (power engineering)
Paper machine
Circulation (fluid dynamics)
Graph (abstract data type)
Isolation (database systems)
Data mining
Artificial intelligence
business
computer
Subjects
Details
- ISSN :
- 14746670
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- IFAC Proceedings Volumes
- Accession number :
- edsair.doi...........0b926c558872b17318ff681e3e0a3cad