---
_id: '2141'
abstract:
- lang: eng
  text: Sensor and information fusion is recently a major topic which becomes important
    in machine diagnosis and conditioning for complex production machines and process
    engineering. It is a known fact that distributed automation systems have a major
    impact on signal processing and pattern recognition for machine diagnosis. Therefore,
    it is necessary to research and develop smart diagnosis methods which are applicable
    for distributed systems like resource-limited cyber-physical systems. In this
    paper we propose an new approach for sensor and information fusion based on Evidence
    Theory and socio-psychological decision-making. We show that context based condition
    monitoring is instantiated even in conflict situations, oc-curing in real life
    scenarios permanently. A simple but effective importance measure is proposed which
    controls the significance of conditioning propositions in a system.
author:
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information
    Fusion. In: IEEE, ed. <i>18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>. Cagliari, Italy; 2013. doi:<a href="https://doi.org/10.1109/ETFA.2013.6647984">10.1109/ETFA.2013.6647984</a>'
  apa: Mönks, U., &#38; Lohweg, V. (2013). Machine Conditioning by Importance Controlled
    Information Fusion. In IEEE (Ed.), <i>18th IEEE International Conference on Emerging
    Technologies and Factory Automation (ETFA)</i>. Cagliari, Italy. <a href="https://doi.org/10.1109/ETFA.2013.6647984">https://doi.org/10.1109/ETFA.2013.6647984</a>
  bjps: <b>Mönks U and Lohweg V</b> (2013) Machine Conditioning by Importance Controlled
    Information Fusion. In IEEE (ed.), <i>18th IEEE International Conference on Emerging
    Technologies and Factory Automation (ETFA)</i>. Cagliari, Italy.
  chicago: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled
    Information Fusion.” In <i>18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>, edited by IEEE. Cagliari, Italy, 2013. <a href="https://doi.org/10.1109/ETFA.2013.6647984">https://doi.org/10.1109/ETFA.2013.6647984</a>.
  chicago-de: 'Mönks, Uwe und Volker Lohweg. 2013. Machine Conditioning by Importance
    Controlled Information Fusion. In: <i>18th IEEE International Conference on Emerging
    Technologies and Factory Automation (ETFA)</i>, hg. von IEEE. Cagliari, Italy.
    doi:<a href="https://doi.org/10.1109/ETFA.2013.6647984,">10.1109/ETFA.2013.6647984,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Mönks, Uwe</span> ; <span style="font-variant:small-caps;">Lohweg,
    Volker</span>: Machine Conditioning by Importance Controlled Information Fusion.
    In: <span style="font-variant:small-caps;">IEEE</span> (Hrsg.): <i>18th IEEE International
    Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Cagliari,
    Italy, 2013'
  havard: 'U. Mönks, V. Lohweg, Machine Conditioning by Importance Controlled Information
    Fusion, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA), Cagliari, Italy, 2013.'
  ieee: U. Mönks and V. Lohweg, “Machine Conditioning by Importance Controlled Information
    Fusion,” in <i>18th IEEE International Conference on Emerging Technologies and
    Factory Automation (ETFA)</i>, 2013.
  mla: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled
    Information Fusion.” <i>18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>, edited by IEEE, 2013, doi:<a href="https://doi.org/10.1109/ETFA.2013.6647984">10.1109/ETFA.2013.6647984</a>.
  short: 'U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference
    on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.'
  ufg: '<b>Mönks, Uwe/Lohweg, Volker (2013)</b>: Machine Conditioning by Importance
    Controlled Information Fusion, in: IEEE (Hg.): <i>18th IEEE International Conference
    on Emerging Technologies and Factory Automation (ETFA)</i>, Cagliari, Italy.'
  van: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information
    Fusion. In: IEEE, editor. 18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA). Cagliari, Italy; 2013.'
corporate_editor:
- IEEE
date_created: 2019-12-04T09:30:15Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP5023
doi: 10.1109/ETFA.2013.6647984
keyword:
- Decision making
- Robot sensing systems
- Reliability
- Production
- Context
- Fuzzy set theory
- Data integration
language:
- iso: eng
place: Cagliari, Italy
publication: 18th IEEE International Conference on Emerging Technologies and Factory
  Automation (ETFA)
publication_identifier:
  eisbn:
  - 978-1-4799-0864-6
  eissn:
  - '1946-0759 '
  isbn:
  - 978-1-4799-0862-2
  issn:
  - '1946-0740 '
publication_status: published
status: public
title: Machine Conditioning by Importance Controlled Information Fusion
type: conference
user_id: '45673'
year: 2013
...
---
_id: '2107'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Karl
  full_name: Voth, Karl
  last_name: Voth
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation
    Rules in Machine Conditioning. In: <i>IEEE CIP 2012, Third International Workshop
    on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain</i>.
    ; 2012. doi:<a href="https://doi.org/10.1109/CIP.2012.6232905">10.1109/CIP.2012.6232905</a>'
  apa: Mönks, U., Voth, K., &#38; Lohweg, V. (2012). An Extended Perspective on Evidential
    Aggregation Rules in Machine Conditioning. In <i>IEEE CIP 2012, Third International
    Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
    Spain</i>. <a href="https://doi.org/10.1109/CIP.2012.6232905">https://doi.org/10.1109/CIP.2012.6232905</a>
  bjps: <b>Mönks U, Voth K and Lohweg V</b> (2012) An Extended Perspective on Evidential
    Aggregation Rules in Machine Conditioning. <i>IEEE CIP 2012, Third International
    Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
    Spain</i>.
  chicago: Mönks, Uwe, Karl Voth, and Volker Lohweg. “An Extended Perspective on Evidential
    Aggregation Rules in Machine Conditioning.” In <i>IEEE CIP 2012, Third International
    Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
    Spain</i>, 2012. <a href="https://doi.org/10.1109/CIP.2012.6232905">https://doi.org/10.1109/CIP.2012.6232905</a>.
  chicago-de: 'Mönks, Uwe, Karl Voth und Volker Lohweg. 2012. An Extended Perspective
    on Evidential Aggregation Rules in Machine Conditioning. In: <i>IEEE CIP 2012,
    Third International Workshop on Cognitive Information Processing, May 28-30 2012,
    Parador de Baiona, Spain</i>. doi:<a href="https://doi.org/10.1109/CIP.2012.6232905,">10.1109/CIP.2012.6232905,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Mönks, Uwe</span> ; <span style="font-variant:small-caps;">Voth,
    Karl</span> ; <span style="font-variant:small-caps;">Lohweg, Volker</span>: An
    Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.
    In: <i>IEEE CIP 2012, Third International Workshop on Cognitive Information Processing,
    May 28-30 2012, Parador de Baiona, Spain</i>, 2012'
  havard: 'U. Mönks, K. Voth, V. Lohweg, An Extended Perspective on Evidential Aggregation
    Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop
    on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
    2012.'
  ieee: U. Mönks, K. Voth, and V. Lohweg, “An Extended Perspective on Evidential Aggregation
    Rules in Machine Conditioning,” in <i>IEEE CIP 2012, Third International Workshop
    on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain</i>,
    2012.
  mla: Mönks, Uwe, et al. “An Extended Perspective on Evidential Aggregation Rules
    in Machine Conditioning.” <i>IEEE CIP 2012, Third International Workshop on Cognitive
    Information Processing, May 28-30 2012, Parador de Baiona, Spain</i>, 2012, doi:<a
    href="https://doi.org/10.1109/CIP.2012.6232905">10.1109/CIP.2012.6232905</a>.
  short: 'U. Mönks, K. Voth, V. Lohweg, in: IEEE CIP 2012, Third International Workshop
    on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
    2012.'
  ufg: '<b>Mönks, Uwe et. al. (2012)</b>: An Extended Perspective on Evidential Aggregation
    Rules in Machine Conditioning, in: <i>IEEE CIP 2012, Third International Workshop
    on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain</i>.'
  van: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation
    Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop
    on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.
    2012.'
date_created: 2019-12-03T06:40:20Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/CIP.2012.6232905
keyword:
- Sensor phenomena and characterization
- Production
- Sensor fusion
- Fuzzy set theory
- Conferences
- Possibility theory
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/6232905/keywords#keywords
publication: IEEE CIP 2012, Third International Workshop on Cognitive Information
  Processing, May 28-30 2012, Parador de Baiona, Spain
publication_identifier:
  eisbn:
  - 978-1-4673-1878-5
  eissn:
  - '2327-1698 '
  isbn:
  - 978-1-4673-1877-8
  issn:
  - '2327-1671 '
publication_status: published
status: public
title: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning
type: conference
user_id: '45673'
year: 2012
...