Fault detection and isolation in system of multiple sources of energy using hierarchical Bayesian belief networks
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02472-y.pdf
Reference42 articles.
1. Guérin F et al (2011) Hybrid modeling for performance evaluation of multisource renewable energy systems. IEEE Trans Autom Sci Eng 8:570–580
2. Eddine AZ, Zaarour I, Guerin F, Hijazi A, Lefebvre D (2016) Improving fault isolation in dc/dc converters based with Bayesian belief networks. IFAC-PapersOnLine 49:303–308
3. Eddine AZ, Zaarour I, Guerin F, Hijazi A, Lefebvre D (2017) A comparative study about the effectiveness of observers and Bayesian belief networks for the fault detection and isolation in power electronics. Res J Appl Sci Eng Technol 14:10–28
4. Chen L, Zhao X, Tang SX (2020) Online fault diagnosis method for high-performance converters using inductor voltage polar signatures. IEEE Access 8:179778–179788
5. Pazouki E, Sozer Y, De Abreu-Garcia JA (2017) Fault diagnosis and fault-tolerant control operation of nonisolated DC–DC converters. IEEE Trans Ind Appl 54:310–320
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