| Title: | Probabilistic electrochemical impedance spectroscopy-based fault diagnosis of solid oxide electrolysis cell systems under variable operating conditions |
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| Authors: | ID Žnidarič, Luka, Institut "Jožef Stefan" (Author)
ID Juričić, Đani, Institut "Jožef Stefan" (Author)
ID Morel, Bertrand (Author)
ID Gradišar, Žiga, Institut "Jožef Stefan" (Author) |
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| Files: |  URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0306261926005416
 PDF - Presentation file, download (3,03 MB)
MD5: C0C525528899F699E92E583884F7C695
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | This work presents a probabilistic diagnostic framework for solid oxide electrolyser cell systems based on electrochemical impedance spectroscopy. Instead of assuming a fixed operating point, the framework explicitly accounts for variations in operating conditions. Spectral data are deconvoluted using an equivalent circuit model whose parameters are obtained via variational Bayes inference, resulting in probabilistic estimates. Parameters inferred under nominal (healthy) operating conditions are then described by a Gaussian process model and subsequently used to check for faults. Specifically, deviations from nominal behaviour are quantified by means of the Wasserstein distance, which measures the discrepancy between the predicted and experimentally obtained parameter distributions. These distance-based residuals form a set of features that enable fault detection and fault isolation using a support vector classifier. The complete framework is validated on data from a 6-cell solid oxide electrolyser short stack collected over a 90-day experimental campaign comprising more than 600 electrochemical impedance spectroscopy spectra. On the test set, the proposed approach achieved 97% accuracy for fault detection and 96% accuracy for multiclass fault isolation under variable operating conditions, demonstrating robust diagnostic performance in dynamically operated solid oxide electrolysis cell systems. |
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| Keywords: | solid oxide electrolysis cell, hydrogen production, electrochemical impedance spectroscopy, Wasserstein distance, support vector classifier, fault diagnosis |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 30.01.2026 |
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| Article acceptance date: | 10.04.2026 |
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| Publication date: | 15.04.2026 |
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| Publisher: | Elsevier |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 1-18 |
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| Numbering: | Vol. 415, [article no.] 127889 |
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| Source: | Nizozemska |
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| PID: | 20.500.12556/DiRROS-29176  |
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| UDC: | 519.218.7 |
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| ISSN on article: | 1872-9118 |
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| DOI: | 10.1016/j.apenergy.2026.127889 |
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| COBISS.SI-ID: | 272796675 |
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| Copyright: | © 2026 The Author(s). |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 22. 4. 2026;
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| Publication date in DiRROS: | 23.04.2026 |
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| Views: | 94 |
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| Downloads: | 61 |
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