---
_id: '2137'
abstract:
- lang: eng
  text: Systems for process automation become increasingly complex and also tend to
    be composed of autonomous subsystems, which is strongly driven by the progress
    made in information technology. An active field of research is the implementation
    of monitoring and control at sub-system level using cognitive approaches. In this
    paper we present a method for autonomous and sensorless condition monitoring of
    an electric drive train. Based on experiment design we measured phase currents
    of a physical demonstrator device including mechanical defects and extracted signal
    features using proper orthogonal decomposition. In favor of classification of
    different defect states we performed a linear discriminant analysis, which yields
    appropriate data for a Fuzzy-Pattern-Classification algorithm. As a result we
    were able to identify different reference defect states as well as previously
    unknown states.
author:
- first_name: Christian
  full_name: Bayer, Christian
  last_name: Bayer
- first_name: Martyna
  full_name: Bator, Martyna
  id: '46440'
  last_name: Bator
- first_name: Olaf
  full_name: Enge-Rosenblatt, Olaf
  last_name: Enge-Rosenblatt
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Alexander
  full_name: Dicks, Alexander
  id: '1853'
  last_name: Dicks
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Bayer C, Bator M, Enge-Rosenblatt O, Mönks U, Dicks A, Lohweg V. Sensorless
    Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction.
    In: Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA); 2013. doi:<a href="https://doi.org/ 10.1109/ETFA.2013.6648126">
    10.1109/ETFA.2013.6648126</a>'
  apa: 'Bayer, C., Bator, M., Enge-Rosenblatt, O., Mönks, U., Dicks, A., &#38; Lohweg,
    V. (2013). Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance
    Ranking and Reduction. Cagliari, Italy: 18th IEEE International Conference on
    Emerging Technologies and Factory Automation (ETFA). <a href="https://doi.org/
    10.1109/ETFA.2013.6648126">https://doi.org/ 10.1109/ETFA.2013.6648126</a>'
  bjps: '<b>Bayer C <i>et al.</i></b> (2013) Sensorless Drive Diagnosis Using Automated
    Feature Extraction, Significance Ranking and Reduction. Cagliari, Italy: 18th
    IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA).'
  chicago: 'Bayer, Christian, Martyna Bator, Olaf Enge-Rosenblatt, Uwe Mönks, Alexander
    Dicks, and Volker Lohweg. “Sensorless Drive Diagnosis Using Automated Feature
    Extraction, Significance Ranking and Reduction.” Cagliari, Italy: 18th IEEE International
    Conference on Emerging Technologies and Factory Automation (ETFA), 2013. <a href="https://doi.org/
    10.1109/ETFA.2013.6648126">https://doi.org/ 10.1109/ETFA.2013.6648126</a>.'
  chicago-de: 'Bayer, Christian, Martyna Bator, Olaf Enge-Rosenblatt, Uwe Mönks, Alexander
    Dicks und Volker Lohweg. 2013. Sensorless Drive Diagnosis Using Automated Feature
    Extraction, Significance Ranking and Reduction. In: . Cagliari, Italy: 18th IEEE
    International Conference on Emerging Technologies and Factory Automation (ETFA).
    doi:<a href="https://doi.org/ 10.1109/ETFA.2013.6648126,"> 10.1109/ETFA.2013.6648126,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Bayer, Christian</span> ; <span
    style="font-variant:small-caps;">Bator, Martyna</span> ; <span style="font-variant:small-caps;">Enge-Rosenblatt,
    Olaf</span> ; <span style="font-variant:small-caps;">Mönks, Uwe</span> ; <span
    style="font-variant:small-caps;">Dicks, Alexander</span> ; <span style="font-variant:small-caps;">Lohweg,
    Volker</span>: Sensorless Drive Diagnosis Using Automated Feature Extraction,
    Significance Ranking and Reduction. In: . Cagliari, Italy : 18th IEEE International
    Conference on Emerging Technologies and Factory Automation (ETFA), 2013'
  havard: 'C. Bayer, M. Bator, O. Enge-Rosenblatt, U. Mönks, A. Dicks, V. Lohweg,
    Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking
    and Reduction., in: 18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA), Cagliari, Italy, 2013.'
  ieee: C. Bayer, M. Bator, O. Enge-Rosenblatt, U. Mönks, A. Dicks, and V. Lohweg,
    “Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking
    and Reduction.,” 2013.
  mla: Bayer, Christian, et al. <i>Sensorless Drive Diagnosis Using Automated Feature
    Extraction, Significance Ranking and Reduction.</i> 18th IEEE International Conference
    on Emerging Technologies and Factory Automation (ETFA), 2013, doi:<a href="https://doi.org/
    10.1109/ETFA.2013.6648126"> 10.1109/ETFA.2013.6648126</a>.
  short: 'C. Bayer, M. Bator, O. Enge-Rosenblatt, U. Mönks, A. Dicks, V. Lohweg, in:
    18th IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA), Cagliari, Italy, 2013.'
  ufg: '<b>Bayer, Christian et. al. (2013)</b>: Sensorless Drive Diagnosis Using Automated
    Feature Extraction, Significance Ranking and Reduction., in: , Cagliari, Italy.'
  van: 'Bayer C, Bator M, Enge-Rosenblatt O, Mönks U, Dicks A, Lohweg V. Sensorless
    Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction.
    In Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA); 2013.'
date_created: 2019-12-04T09:25:43Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP5023
doi: ' 10.1109/ETFA.2013.6648126'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://publica.fraunhofer.de/eprints/urn_nbn_de_0011-n-2666279.pdf
oa: '1'
place: Cagliari, Italy
publication_identifier:
  eisbn:
  - 978-1-4799-0864-6
  isbn:
  - 978-1-4799-0862-2
publication_status: published
publisher: 18th IEEE International Conference on Emerging Technologies and Factory
  Automation (ETFA)
status: public
title: Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance
  Ranking and Reduction.
type: conference
user_id: '45673'
year: 2013
...
---
_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
...