Zahra sadat Nourbakhsh Soltani

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Uddannelse (Akademiske kvalifikationer)

Sastainable energy systems, MSc, Convolutional neural network-based fault detection and diagnosis of DC-DC converters

1 sep. 2016 → 30 jun. 2018

Dimissionsdato: 29 jun. 2018

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1 Lignende profiler

2 Konferenceartikel i proceeding
1 Tidsskriftartikel
1 Ph.d.-afhandling

Automatic fault detection and diagnosis in refrigeration systems, A data-driven approach
Soltani, Z., 2023, Aalborg Universitetsforlag. 161 s.
Publikation: Ph.d.-afhandling

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76 Downloads (Pure)
Fault detection and diagnosis in refrigeration systems using machine learning algorithms
Soltani, Z., Sørensen, K. K., Leth, J. & Bendtsen, J. D., dec. 2022, I: International Journal of Refrigeration. 144, s. 34-45 12 s.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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8 Citationer (Scopus)

124 Downloads (Pure)
Robustness analysis of PCA-SVM model used for fault detection in supermarket refrigeration systems
Soltani, Z., Kjaer Soerensen, K., Leth, J-J. & Bendtsen, J. D., 2021, 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). Kuala Lumpur, Malaysia: IEEE, 6 s.
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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2 Citationer (Scopus)

49 Downloads (Pure)
Fault Detection of Supermarket Refrigeration Systems Using Convolutional Neural Network
Soltani, Z., Soerensen, K. K., Leth, J. & Bendtsen, J. D., 18 okt. 2020, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society Press, s. 231-238 8 s. 9254485. (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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3 Citationer (Scopus)

69 Downloads (Pure)

Zahra sadat Nourbakhsh Soltani

Personlig profil

Uddannelse (Akademiske kvalifikationer)

Fingerprint

Samarbejde i de sidste fem år

Dyk ned i detaljerne

Automatic fault detection and diagnosis in refrigeration systems, A data-driven approach

Fault detection and diagnosis in refrigeration systems using machine learning algorithms

Robustness analysis of PCA-SVM model used for fault detection in supermarket refrigeration systems

Fault Detection of Supermarket Refrigeration Systems Using Convolutional Neural Network