---
_id: '64787'
abstract:
- lang: eng
  text: This study proposes a fault diagnostics methodology that addresses the challenges
    posed by highly imbalanced datasets typical of railway applications, where faulty
    conditions constitute the minority class. Fault diagnostics is performed from
    the component level upward, considering each sensor’s proximity to its respective
    critical component. Advanced signal analysis, feature engineering, and automated
    data-driven model generation techniques were explored to achieve comprehensive
    diagnostics, such that the model development process accounts for variations in
    the operating conditions and differing levels of information availability. The
    proposed methodology is evaluated on datasets from the MONOCAB, for scenarios
    with limited faulty instances and on the Beijing 2024 IEEE PHM Conference data
    challenge, which focused on fault diagnostics of railway systems under various
    fault modes and operating conditions.
article_number: '1'
author:
- first_name: Osarenren Kennedy
  full_name: Aimiyekagbon, Osarenren Kennedy
  id: '9557'
  last_name: Aimiyekagbon
- first_name: Alexander
  full_name: Löwen, Alexander
  id: '47233'
  last_name: Löwen
- first_name: Raphael
  full_name: Hanselle, Raphael
  last_name: Hanselle
- first_name: Thomas
  full_name: Rief, Thomas
  last_name: Rief
- first_name: Maximilian
  full_name: Beck, Maximilian
  last_name: Beck
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Aimiyekagbon OK, Löwen A, Hanselle R, Rief T, Beck M, Sextro W. Multilevel
    fault diagnostics for railway applications using limited historical data. In:
    <i>PHM Society Asia-Pacific Conference</i>. Vol 5. ; 2025. doi:<a href="https://doi.org/10.36001/phmap.2025.v5i1.4449">10.36001/phmap.2025.v5i1.4449</a>'
  apa: Aimiyekagbon, O. K., Löwen, A., Hanselle, R., Rief, T., Beck, M., &#38; Sextro,
    W. (2025). Multilevel fault diagnostics for railway applications using limited
    historical data. <i>PHM Society Asia-Pacific Conference</i>, <i>5</i>, Article
    1. <a href="https://doi.org/10.36001/phmap.2025.v5i1.4449">https://doi.org/10.36001/phmap.2025.v5i1.4449</a>
  bibtex: '@inproceedings{Aimiyekagbon_Löwen_Hanselle_Rief_Beck_Sextro_2025, title={Multilevel
    fault diagnostics for railway applications using limited historical data}, volume={5},
    DOI={<a href="https://doi.org/10.36001/phmap.2025.v5i1.4449">10.36001/phmap.2025.v5i1.4449</a>},
    number={1}, booktitle={PHM Society Asia-Pacific Conference}, author={Aimiyekagbon,
    Osarenren Kennedy and Löwen, Alexander and Hanselle, Raphael and Rief, Thomas
    and Beck, Maximilian and Sextro, Walter}, year={2025} }'
  chicago: Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Raphael Hanselle, Thomas
    Rief, Maximilian Beck, and Walter Sextro. “Multilevel Fault Diagnostics for Railway
    Applications Using Limited Historical Data.” In <i>PHM Society Asia-Pacific Conference</i>,
    Vol. 5, 2025. <a href="https://doi.org/10.36001/phmap.2025.v5i1.4449">https://doi.org/10.36001/phmap.2025.v5i1.4449</a>.
  ieee: 'O. K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, and W. Sextro,
    “Multilevel fault diagnostics for railway applications using limited historical
    data,” in <i>PHM Society Asia-Pacific Conference</i>, 2025, vol. 5, doi: <a href="https://doi.org/10.36001/phmap.2025.v5i1.4449">10.36001/phmap.2025.v5i1.4449</a>.'
  mla: Aimiyekagbon, Osarenren Kennedy, et al. “Multilevel Fault Diagnostics for Railway
    Applications Using Limited Historical Data.” <i>PHM Society Asia-Pacific Conference</i>,
    vol. 5, 1, 2025, doi:<a href="https://doi.org/10.36001/phmap.2025.v5i1.4449">10.36001/phmap.2025.v5i1.4449</a>.
  short: 'O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in:
    PHM Society Asia-Pacific Conference, 2025.'
date_created: 2026-02-27T20:41:54Z
date_updated: 2026-02-27T20:46:44Z
department:
- _id: '151'
doi: 10.36001/phmap.2025.v5i1.4449
intvolume: '         5'
keyword:
- MONOCAB
- Beijing Data Challenge
- Diagnostics of railway systems
language:
- iso: eng
project:
- _id: '1355'
  name: enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige,
    vernetzte Mobilität im ländlichen Raum
publication: PHM Society Asia-Pacific Conference
publication_status: published
quality_controlled: '1'
status: public
title: Multilevel fault diagnostics for railway applications using limited historical
  data
type: conference
user_id: '9557'
volume: 5
year: '2025'
...