Non-Invasive Parameter Identification of DC Arc Models for MV Circuit Breaker Diagnostics

Accurate electrical arc modeling with physically meaningful parameters is essential for the assessment of medium-voltage DC circuit breakers in industrial and railway applications. Laboratory testing and characterization, as outlined in the IEC 61992 standard series for railway applications, typically provide data to asses the operational behavior of the componentsin the power distribution system, including recorded waveforms of terminal voltage and current but not the insights and inputs needed for inner behavior analysis and design optimization. This paper introduces lumped-parameter multi-physics models to describe different phases of arc behavior and outlines a methodology for model-data assimilation. Using experimental test data, the approach enables performance evaluation and supports non-invasive diagnostics and potential condition monitoring of circuit breakers.

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Publication Details

Journal
Sensors
Published
2025-05-17
DOI
https://doi.org/10.3390/s25103161
Primary Topic
Electrical Fault Detection and Protection
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-Invasive Parameter Identification of DC Arc Models for MV Circuit Breaker Diagnostics

Massimiliano Amato, M. Riva, G. D’Antona, Camilo Trujillo-Arboleda
Sensors
Electrical Fault Detection and Protection
article

Non-Invasive Parameter Identification of DC Arc Models for MV Circuit Breaker Diagnostics

Massimiliano Amato, M. Riva, G. D’Antona, Camilo Trujillo-Arboleda
article en

Abstract

Accurate electrical arc modeling with physically meaningful parameters is essential for the assessment of medium-voltage DC circuit breakers in industrial and railway applications. Laboratory testing and characterization, as outlined in the IEC 61992 standard series for railway applications, typically provide data to asses the operational behavior of the componentsin the power distribution system, including recorded waveforms of terminal voltage and current but not the insights and inputs needed for inner behavior analysis and design optimization. This paper introduces lumped-parameter multi-physics models to describe different phases of arc behavior and outlines a methodology for model-data assimilation. Using experimental test data, the approach enables performance evaluation and supports non-invasive diagnostics and potential condition monitoring of circuit breakers.

SensorsVol. 25(10)
Politecnico di Milano (IT)
European Commission
Openalex Percentile: Top 91%
Electrical Fault Detection and Protection
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Non-Invasive Parameter Identification of DC Arc Models for MV Circuit Breaker Diagnostics — Massimiliano Amato, M. Riva, et al. · Sensors (2025) | TGRS Research Map | TGRS