---
_id: '55336'
abstract:
- lang: eng
  text: "Predicting the remaining useful life of technical \r\nsystems has gained
    significant attention in recent years due to \r\nincreasing demands for extending
    the lifespan of degrading system \r\ncomponents. Therefore, already used systems
    are retrofitted by \r\nintegrating sensors to monitor their performance and \r\nfunctionality,
    enabling accurate diagnosis of their condition and \r\nprediction of their remaining
    useful life. One of the main \r\nchallenges in this field is identified in the
    missing data from the \r\ntime where the retrofitted system has already run but
    without \r\nbeing monitored by sensors. In this paper, a novel approach for \r\nthe
    combined diagnostics and prognostics of retrofitted systems is \r\nproposed. The
    methodology aims to provide an accurate diagnosis \r\nof the system’s health state
    and estimation of the remaining useful \r\nlife by a combination of a machine
    learning and expert knowledge. \r\nTo evaluate the effectiveness of the proposed
    methodology, a case \r\nstudy involving a retrofitted system in an industrial
    setting is \r\nselected and applied. It is demonstrated that the approach \r\neffectively
    diagnose the current system’s health state and \r\naccurately predict its remaining
    useful life, thereby enabling \r\npredictive maintenance and decision-making.
    Overall, our \r\nresearch contributes to advancing the field of condition \r\nmonitoring
    for retrofitted systems by providing a comprehensive \r\nmethodology that addresses
    the challenge of missing data."
author:
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
- first_name: Osarenren Kennedy
  full_name: Aimiyekagbon, Osarenren Kennedy
  id: '9557'
  last_name: Aimiyekagbon
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Bender A, Aimiyekagbon OK, Sextro W. Diagnostics and Prognostics for Retrofitted
    Systems: A Comprehensive Approach for Enhanced System Health Assessment. In: <i>Proceedings
    of the 2024 Prognostics and System Health Management Conference (PHM)</i>. IEEE
    Computer Society; 2024. doi:<a href="https://doi.org/10.1109/PHM61473.2024.00038">10.1109/PHM61473.2024.00038</a>'
  apa: 'Bender, A., Aimiyekagbon, O. K., &#38; Sextro, W. (2024). Diagnostics and
    Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System
    Health Assessment. <i>Proceedings of the 2024 Prognostics and System Health Management
    Conference (PHM)</i>. 2024 Prognostics and System Health Management Conference
    (PHM), Stockholm, Schweden. <a href="https://doi.org/10.1109/PHM61473.2024.00038">https://doi.org/10.1109/PHM61473.2024.00038</a>'
  bibtex: '@inproceedings{Bender_Aimiyekagbon_Sextro_2024, title={Diagnostics and
    Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System
    Health Assessment}, DOI={<a href="https://doi.org/10.1109/PHM61473.2024.00038">10.1109/PHM61473.2024.00038</a>},
    booktitle={Proceedings of the 2024 Prognostics and System Health Management Conference
    (PHM)}, publisher={IEEE Computer Society}, author={Bender, Amelie and Aimiyekagbon,
    Osarenren Kennedy and Sextro, Walter}, year={2024} }'
  chicago: 'Bender, Amelie, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Diagnostics
    and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced
    System Health Assessment.” In <i>Proceedings of the 2024 Prognostics and System
    Health Management Conference (PHM)</i>. IEEE Computer Society, 2024. <a href="https://doi.org/10.1109/PHM61473.2024.00038">https://doi.org/10.1109/PHM61473.2024.00038</a>.'
  ieee: 'A. Bender, O. K. Aimiyekagbon, and W. Sextro, “Diagnostics and Prognostics
    for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment,”
    presented at the 2024 Prognostics and System Health Management Conference (PHM),
    Stockholm, Schweden, 2024, doi: <a href="https://doi.org/10.1109/PHM61473.2024.00038">10.1109/PHM61473.2024.00038</a>.'
  mla: 'Bender, Amelie, et al. “Diagnostics and Prognostics for Retrofitted Systems:
    A Comprehensive Approach for Enhanced System Health Assessment.” <i>Proceedings
    of the 2024 Prognostics and System Health Management Conference (PHM)</i>, IEEE
    Computer Society, 2024, doi:<a href="https://doi.org/10.1109/PHM61473.2024.00038">10.1109/PHM61473.2024.00038</a>.'
  short: 'A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics
    and System Health Management Conference (PHM), IEEE Computer Society, 2024.'
conference:
  end_date: 2024-05-31
  location: Stockholm, Schweden
  name: 2024 Prognostics and System Health Management Conference (PHM)
  start_date: 2024-05-28
date_created: 2024-07-22T09:27:57Z
date_updated: 2024-07-22T09:29:26Z
department:
- _id: '151'
doi: 10.1109/PHM61473.2024.00038
keyword:
- retrofit
- diagnosis
- prognostics
- RUL prediction
- missing data
- ball bearings
language:
- iso: eng
publication: Proceedings of the 2024 Prognostics and System Health Management Conference
  (PHM)
publication_identifier:
  isbn:
  - 979-8-3503-6058-5
publisher: IEEE Computer Society
quality_controlled: '1'
status: public
title: 'Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach
  for Enhanced System Health Assessment'
type: conference
user_id: '54290'
year: '2024'
...
---
_id: '55429'
abstract:
- lang: eng
  text: A detailed understanding of the cognitive process underlying diagnostic reasoning
    in medical experts is currently lacking. While high-level theories like hypothetico-deductive
    reasoning were proposed long ago, the inner workings of the step-by-step dynamics
    within the mind remain unknown. We present a fully automated approach to elicit,
    monitor, and record diagnostic reasoning processes at a fine-grained level. A
    web-based user interface enables physicians to carry out a full diagnosis process
    on a simulated patient, given as a pre-defined clinical vignette. By collecting
    the physician’s information queries and hypothesis revisions, highly detailed
    diagnostic reasoning trajectories are captured leading to a diagnosis and its
    justification. Four expert epileptologists with a mean experience of 19 years
    were recruited to evaluate the system and share their impressions in semi-structured
    interviews. We find that the recorded trajectories validate proposed theories
    on broader diagnostic reasoning, while also providing valuable additional details
    extending previous findings.
author:
- first_name: Dominik
  full_name: Battefeld, Dominik
  id: '91864'
  last_name: Battefeld
  orcid: 0000-0002-5480-0594
- first_name: Sigrid
  full_name: Mues, Sigrid
  last_name: Mues
- first_name: Tim
  full_name: Wehner, Tim
  last_name: Wehner
- first_name: Patrick
  full_name: House, Patrick
  last_name: House
- first_name: Christoph
  full_name: Kellinghaus, Christoph
  last_name: Kellinghaus
- first_name: Jörg
  full_name: Wellmer, Jörg
  last_name: Wellmer
- first_name: Stefan
  full_name: Kopp, Stefan
  last_name: Kopp
citation:
  ama: 'Battefeld D, Mues S, Wehner T, et al. Revealing the Dynamics of Medical Diagnostic
    Reasoning as Step-by-Step Cognitive Process Trajectories. In: <i>Proceedings of
    the 46th Annual Conference of the Cognitive Science Society</i>. ; 2024.'
  apa: Battefeld, D., Mues, S., Wehner, T., House, P., Kellinghaus, C., Wellmer, J.,
    &#38; Kopp, S. (2024). Revealing the Dynamics of Medical Diagnostic Reasoning
    as Step-by-Step Cognitive Process Trajectories. <i>Proceedings of the 46th Annual
    Conference of the Cognitive Science Society</i>. The Annual Meeting of the Cognitive
    Science Society, Rotterdam, NL.
  bibtex: '@inproceedings{Battefeld_Mues_Wehner_House_Kellinghaus_Wellmer_Kopp_2024,
    title={Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step
    Cognitive Process Trajectories}, booktitle={Proceedings of the 46th Annual Conference
    of the Cognitive Science Society}, author={Battefeld, Dominik and Mues, Sigrid
    and Wehner, Tim and House, Patrick and Kellinghaus, Christoph and Wellmer, Jörg
    and Kopp, Stefan}, year={2024} }'
  chicago: Battefeld, Dominik, Sigrid Mues, Tim Wehner, Patrick House, Christoph Kellinghaus,
    Jörg Wellmer, and Stefan Kopp. “Revealing the Dynamics of Medical Diagnostic Reasoning
    as Step-by-Step Cognitive Process Trajectories.” In <i>Proceedings of the 46th
    Annual Conference of the Cognitive Science Society</i>, 2024.
  ieee: D. Battefeld <i>et al.</i>, “Revealing the Dynamics of Medical Diagnostic
    Reasoning as Step-by-Step Cognitive Process Trajectories,” presented at the The
    Annual Meeting of the Cognitive Science Society, Rotterdam, NL, 2024.
  mla: Battefeld, Dominik, et al. “Revealing the Dynamics of Medical Diagnostic Reasoning
    as Step-by-Step Cognitive Process Trajectories.” <i>Proceedings of the 46th Annual
    Conference of the Cognitive Science Society</i>, 2024.
  short: 'D. Battefeld, S. Mues, T. Wehner, P. House, C. Kellinghaus, J. Wellmer,
    S. Kopp, in: Proceedings of the 46th Annual Conference of the Cognitive Science
    Society, 2024.'
conference:
  end_date: 2024-07-27
  location: Rotterdam, NL
  name: The Annual Meeting of the Cognitive Science Society
  start_date: 2024-07-24
date_created: 2024-07-30T08:17:35Z
date_updated: 2025-09-23T15:11:19Z
ddc:
- '000'
department:
- _id: '660'
file:
- access_level: closed
  content_type: application/pdf
  creator: doba2
  date_created: 2024-07-30T08:21:13Z
  date_updated: 2024-07-30T08:21:13Z
  file_id: '55430'
  file_name: Battefeld_2024_Revealing-the-dynamics.pdf
  file_size: 486513
  relation: main_file
  success: 1
file_date_updated: 2024-07-30T08:21:13Z
has_accepted_license: '1'
keyword:
- Differential Diagnosis
- Diagnostic Reasoning
- Reasoning Process Analysis
- Seizure
- Epilepsy
language:
- iso: eng
project:
- _id: '128'
  name: 'TRR 318 - C5: TRR 318 - Subproject C5'
publication: Proceedings of the 46th Annual Conference of the Cognitive Science Society
publication_status: published
quality_controlled: '1'
status: public
title: Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive
  Process Trajectories
type: conference
user_id: '91864'
year: '2024'
...