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

fYear

2012

fDate

28-30 May 2012

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Information Processing (CIP), 2012 3rd International Workshop on

Conference_Location

Baiona

Print_ISBN

978-1-4673-1877-8

Type

conf

DOI

10.1109/CIP.2012.6232905

Filename

6232905