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Asoodar, M., Nahalparvari, M., Schneider, S., Shafikhani, I., Ingeström, G. & Nee, H.-P. (2024). A Novel ON-State Resistance Estimation Technique for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions. IEEE Open Journal of Instrumentation and Measurement, 3, Article ID 3500113.
Open this publication in new window or tab >>A Novel ON-State Resistance Estimation Technique for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions
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2024 (English)In: IEEE Open Journal of Instrumentation and Measurement, ISSN 2768-7236, Vol. 3, article id 3500113Article in journal (Refereed) Published
Abstract [en]

This article presents a novel method for accurate online extraction of semiconductor ON-state resistance in the presence of measurement noise. In this method, the ON-state resistance value is extracted from the measured ON-state voltage of the semiconductors and the measured load current. The extracted ON-state resistance can be used for online condition monitoring of semiconductors. The proposed method is based on the extraction of selective harmonic content. The estimated values are further enhanced through an integral action that increases the signal-to-noise ratio, making the proposed method suitable in the presence of noisy measurements. The efficacy of the proposed method is verified through simulations in the MATLAB/Simulink environment, and experimentally. The estimated ON-state resistance values from the online setup are compared to offline measurements from an industrial curve tracer, where an overall estimation error of less than 1% is observed. The proposed solution maintains its estimation accuracy under variable load conditions and for different temperatures of the device under test.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024
Keywords
Semiconductor device measurement, Voltage measurement, Electrical resistance measurement, Temperature measurement, Resistance, Current measurement, Estimation, Condition monitoring, health monitoring, online estimation, ON-state resistance, reliability, semiconductor devices, state of health
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-350046 (URN)10.1109/OJIM.2024.3379414 (DOI)001252441500001 ()2-s2.0-85205405560 (Scopus ID)
Note

QC 20240705

Available from: 2024-07-05 Created: 2024-07-05 Last updated: 2025-01-22Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0002-8902-7263

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