Identification of Gate Turn-off Thyristor Switching Patterns Using Acoustic Emission Sensors.

acoustic emission gate turn-off thyristor power electronics sensor transducer

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Dec 2020
Historique:
received: 25 11 2020
revised: 13 12 2020
accepted: 18 12 2020
entrez: 30 12 2020
pubmed: 31 12 2020
medline: 31 12 2020
Statut: epublish

Résumé

Modern seagoing ships are often equipped with converters which utilize semiconductor power electronics devices like thyristors or power transistors. Most of them are used in driving applications such as powerful main propulsion plants, auxiliary podded drives and thrusters. When it comes to main propulsion drives the power gets seriously high, thus the need for use of medium voltage power electronics devices arises. As it turns out, power electronic parts are the most susceptible to faults or failures in the whole electric drive system. These devices require efficient cooling, so manufacturers design housings in a way that best dissipates heat from the inside of the chips to the metal housing. This results in susceptibility to damage due to the heterogeneity of combined materials and the difference in temperature expansion of elements inside the power device. Currently used methods of prediction of damage and wear of semiconductor elements are limited to measurements of electrical quantities generated by devices during operation and not quite effective in case of early-stage damage to semiconductor layers. The article presents an introduction and preliminary tests of a method utilizing an acoustic emission sensor which can be used in detecting early stage damages of the gate turn-off thyristor. Theoretical considerations and chosen experimental results of initial measurements of acoustic emission signals of the medium voltage gate turn-off thyristor are presented.

Identifiants

pubmed: 33374427
pii: s21010070
doi: 10.3390/s21010070
pmc: PMC7795043
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2016 Nov 30;16(12):
pubmed: 27916900
Materials (Basel). 2019 Jul 03;12(13):
pubmed: 31277224

Auteurs

Maciej Kozak (M)

Faculty of Mechatronics and Electrical Engineering, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland.

Artur Bejger (A)

Faculty of Mechanical Engineering, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland.

Arkadiusz Tomczak (A)

Faculty of Navigation, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland.

Classifications MeSH