Cited by 19Target Tracking and Data Fusion in Sensor NetworksStability and Control of Uncertain SystemsInertial Sensor and Navigation
The DOI matches its Crossref record.
Event-based fusion estimation for multi-rate systems subject to sensor degradations
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Crossref · 10.1016/j.jfranklin.2021.08.011
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In the citing paper
“Filtering methods encounter filtering error dynamic instability (He, Wang and Zhou, 2008), indicating difficulty in deriving exact values of filtering error covariance (FEC) which tends to be increasing (Huang & Shen, 2021).”
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 Huang & Shen, 2021
In the citing paper
“A uniform distribution was also used to model sensor degradation process (Huang & Shen, 2021;Wen et al., 2023).”
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 Huang & Shen, 2021
In the citing paper
“most methods incorporate measurement uncertainty from sensor degradation, specifically gain degradation, bias, drift, sensor failure, into the measurement model within filters”
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 Huang & Shen, 2021
In the citing paper
“Multi-rate systems (MRSs) with sensor degradation have received particularly little attention, despite the clear need for robust fusion estimation methods tailored to handle degradation effects (Huang & Shen, 2021).”
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 Huang & Shen, 2021
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Self-citationThai, 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
- Huang, C., & Shen, B.
- Affiliations
- Donghua University (CN)
- Corresponding author
- Shen, Bo
- ORCID
- Shen, Bo
- Venue
- Journal of the Franklin Institute
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 358
- Issue
- 16
- Pages
- 8754-8771
- ISSN
- 0016-0032 (ISSN-L)
- OpenAlex
- W3198835941
- Cited by
- 19
- References
- 0
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 6 · 2023: 2 · 2022: 5
- FWCI
- 1.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Franklin Institute (publishedVersion)
- Funders
- National Natural Science Foundation of China (61873059)
- Program of Shanghai Academic Research Leader (20XD1420100)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Keywords
- multirate systems, sensor degradation, event-triggered mechanism, covariance intersection, communication resource reduction, state estimation
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