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A predictive maintenance policy for manufacturing systems considering degradation of health monitoring device
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In the citing paper
“The proposed method achieved an optimal maintenance cost rate; compared to the conventional method, which had a higher cost rate, it reduced costs by approximately 12.5%.”
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 Dinh et al. (2024)
In the citing paper
“Further analysis showed that the maintenance cost rate is sensitive to the sensor replacement threshold: compared to the optimal value, lower thresholds increase costs due to frequent sensor replacements, while higher thresholds reduce replacements but raise costs from system failures or poor maintenance timing caused by degraded sensor accuracy.”
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 Dinh et al. (2024)
In the citing paper
“Dinh et al. (2024) introduced an adaptive PdM strategy specifically designed for manufacturing systems where measurement uncertainty arises from the degradation of health monitoring devices (HMDs).”
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 Dinh et al. (2024)
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Research works printed but not linked: 33
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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
Self-citation
Metadata
- Authors
- Dinh, D.-H., Do, P., Hoang, V.-T., Vo, N.-T., & Bang, T. Q.
- Affiliations
- University of Da Nang (VN)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Dinh, Duc-Hanh
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 248
- Pages
- 110177
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W4396529063
- Cited by
- 26
- References
- 0
- Citations by year
- 2026: 16 · 2025: 9 · 2024: 1
- FWCI
- 6.75
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Reliability Engineering & System Safety (publishedVersion)
- HAL (submittedVersion, cc-by-nc)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Vingroup JSC
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Keywords
- predictive maintenance, manufacturing systems, condition monitoring, Kalman filter state estimation, maintenance decision-making, cost model, injection molding machine, data uncertainty
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