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Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art
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“Sensor degradation is a well-known phenomenon that impacts the accuracy and reliability of measurements, as sensors degrade over time, the data they provide become less precise and more uncertain”
From Impact of Sensor Degradation on Measurement Uncertainty in Prognostics and Maintenance Decision-Making: State of the art and challenges (2025) · cites this paper as Abid, Sayed Mouchaweh and Cornez, 2019
Citations
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Cited by
Sorted by citations
Thai, T.-T. N., Do, P., Iung, B., & Gardoni, P. (2025) · International Journal of Prognostics and Health Management · doi:10.36001/ijphm.2025.v16i4.4306 · Cited by 6
Metadata
- Authors
- Abid, K., Sayed Mouchaweh, M., & Cornez, L.
- Affiliations
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Corresponding author
- Abid, Koceila
- Cornez, Laurence
- Venue
- Communications in Computer and Information Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 113-125
- ISSN
- 1865-0929 (ISSN-L)
- 1865-0937
- OpenAlex
- W2922346517
- Cited by
- 18
- References
- 1
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 3 · 2019: 2
- FWCI
- 3.48
- Type
- conference paper
- Language
- en
- Open access
- green
- cea.hal.science
- Licence
- Locations
- Communications in computer and information science (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- fault prognosis, wind turbines, predictive maintenance, remaining useful life prediction, health indicators, degradation detection, proactive maintenance, offshore wind farms, unplanned downtime, maintenance cost reduction
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