Title :
An extended perspective on evidential aggregation rules in machine condition monitoring
Author :
Mönks, Uwe ; Voth, Karl ; Lohweg, Volker
Author_Institution :
inIT - Inst. Ind. IT, Ostwestfalen-Lippe Univ. of Appl. Sci., Lemgo, Germany
Abstract :
In this paper we propose a novel, extended perspective on evidential aggregation rules in machine condition monitoring. First, aspects regarding the interconnections between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently, a novel approach for direct determination of basic probability assignments using Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion line´s condition monitoring system, considering and reducing pairwise conflicts.
Keywords :
condition monitoring; extrusion; fuzzy set theory; inference mechanisms; machinery; machinery production industries; pipelines; possibility theory; probability; production engineering computing; uncertainty handling; Dempster-Shafer theory; basic probability assignment; evidential aggregation rule; fuzzy membership function; fuzzy set theory; machine condition monitoring; pairwise conflict; pipe extrusion line; possibility theory; Conferences; Fuzzy set theory; Possibility theory; Production; Sensor fusion; Sensor phenomena and characterization;
Conference_Titel :
Cognitive Information Processing (CIP), 2012 3rd International Workshop on
Conference_Location :
Baiona
Print_ISBN :
978-1-4673-1877-8
DOI :
10.1109/CIP.2012.6232905
