Cited by 217Reliability and Maintenance OptimizationMachine Fault Diagnosis TechniquesFault Detection and Control Systems

State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

Open access
Javed, Kamran, Gouriveau, Rafael, Zerhouni, Noureddine·2017·Mechanical Systems and Signal Processing

Integrity signals

Registry

Crossref · 10.1016/j.ymssp.2017.01.050

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3 of 3 references verified0 citation errors · 0 not checkable

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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.

    “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: (2025) · cites this paper as Javed, Gouriveau and Zerhouni, 2017

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Authors
Javed, K., Gouriveau, R., & Zerhouni, N.
Affiliations
Centre National de la Recherche Scientifique (FR)
Corresponding author
Javed, Kamran
Venue
Mechanical Systems and Signal Processing
Publisher
Elsevier BV
Published
2017-09
Volume
94
Pages
214-236
ISSN
0888-3270 (ISSN-L)
OpenAlex
W2593519057
Cited by
217
References
3
Citations by year
2026: 18 · 2025: 10 · 2024: 26 · 2023: 23 · 2022: 38 · 2021: 35 · 2020: 22 · 2019: 22 · 2018: 16 · 2017: 7
FWCI
25.36
Type
journal article
Language
en
Open access
Locations
  • Mechanical Systems and Signal Processing (publishedVersion)
  • HAL (submittedVersion, other-oa)
Funders
  • Agence Nationale de la Recherche (ANR-11-LABX-0001)
  • CHIST-ERA
Topics
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
  • Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
Keywords
prognostics, prognostics and health management, remaining useful life prediction, degradation prediction, technology readiness level

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