Cited by 300Reliability and Maintenance OptimizationMachine Fault Diagnosis TechniquesStructural Health Monitoring Techniques

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Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

An, Dawn, Choi, Joo-Ho, Kim, Nam Ho·2013·Reliability Engineering & System Safety

DOI 10.1016/j.ress.2013.02.019

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Self-citation

Authors: An, D., Choi, J.-H., & Kim, N. H.
Affiliations: Korea Aerospace University (KR)
University of Florida (US)
Corresponding author: Kim, Nam Ho
ORCID: An, Dawn
Choi, Joo-Ho
Kim, Nam Ho
Venue: Reliability Engineering & System Safety
Publisher: Elsevier BV
Published: 2013-07
Volume: 115
Pages: 161-169
ISSN: 0951-8320 (ISSN-L)
DOI: 10.1016/j.ress.2013.02.019
OpenAlex: W2097956058
Cited by: 300
References: 22
Citations by year: 2026: 7 · 2025: 9 · 2024: 16 · 2023: 29 · 2022: 31 · 2021: 40 · 2020: 25 · 2019: 37 · 2018: 33 · 2017: 30 · 2016: 17 · 2015: 15 · 2014: 9 · 2013: 2
FWCI: 40.62
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Reliability Engineering & System Safety (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Funders: International Collaborative R&D Program (0420-2011-0161)
Korea Institute of Energy Technology Evaluation and Planning (KETEP)
Korean government's Ministry of Knowledge Economy
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 › Civil and Structural Engineering › Structural Health Monitoring Techniques
Keywords: model-based prognostics, particle filter, remaining useful life prediction, parameter estimation, degradation modeling, battery degradation, crack propagation, prediction intervals, damage evolution, MATLAB implementation

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