Prognostics: a literature review
Open accessAbstract
Integrated systems health management (ISHM) is an enabling technology used to preserve safe and reliable operation of complex engineering systems. It also helps in reducing processing and operation time, manpower and cost, and increasing system availability and utility. ISHM includes various technologies ranging from design, analysis, build, and verify to operate and maintain. Prognostics is one of the most challenging and beneficial aspects of ISHM. Knowledge of the remaining useful life using prognostics can make a significant paradigm shift in ISHM. Researchers that have new interest in prognostics need to read hundreds of articles to have a complete picture about prognostics and its relation to other disciplines. Our contribution to solving this problem is by introducing the first comprehensive vision about prognostics as a part of ISHM in a single literature review paper. We focus on prognostics benefits, approaches, applications, and challenges. This paper can be considered as the starting point for studying prognostics and health management.
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Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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 Elattar, Elminir and Riad, 2016
Cites
Damage propagation modeling for aircraft engine run-to-failure simulation
Saxena, A., Goebel, K., Simon, D., & Eklund, N. (2008) · 2008 International Conference on Prognostics and Health Management · doi:10.1109/phm.2008.4711414 · Cited by 1,954 · see citing works
Prognostics in Battery Health Management
Goebel, K., Saha, B., Saxena, A., Celaya, J., & Christophersen, J. (2008) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2008.4579269 · Cited by 594 · see citing works
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Zhang, Y., Xiong, R., He, H., & Pecht, M. G. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2805189 · Cited by 1,326 · see citing works
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Xue, K., Yang, J., Yang, M., & Wang, D. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3251391 · Cited by 75 · see citing works
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 5 · see citing works
Sekar, K., Shah, S. A., & Antony Athithan, A. (2021) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/1128/1/012010 · Cited by 3 · see citing works
- Authors
- Elattar, H. M., Elminir, H. K., & Riad, A. M.
- Affiliations
- Mansoura University (EG)
- Kafrelsheikh University (EG)
- Corresponding author
- Elattar, Hatem M.
- Venue
- Complex & Intelligent Systems
- Published
- 2016-06
- Volume
- 2
- Issue
- 2
- Pages
- 125-154
- ISSN
- 2198-6053 (ISSN-L)
- 2199-4536
- OpenAlex
- W2466930957
- Cited by
- 181
- References
- 2
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 19 · 2023: 33 · 2022: 20 · 2021: 26 · 2020: 21 · 2019: 20 · 2018: 18 · 2017: 2
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Complex & Intelligent Systems (publishedVersion, cc-by)
- Greater South Information System
- 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 › Engineering and Test Systems
- Keywords
- prognostics, remaining useful life, complex technical systems, system availability
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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