Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms

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Datum:2020
1. Verfasser: Ye. O. Zaitsev
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2020
Schriftenreihe:Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001121747
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author Ye. O. Zaitsev
author_facet Ye. O. Zaitsev
author_sort Ye. O. Zaitsev
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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series Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
spelling open-sciencenbuvgovua-109862024-02-25T17:54:12Z Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms Ye. O. Zaitsev 1727-9895 2020 en Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine http://jnas.nbuv.gov.ua/article/UJRN-0001121747 Article
spellingShingle Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
Ye. O. Zaitsev
Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
title Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
title_full Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
title_fullStr Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
title_full_unstemmed Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
title_short Opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
title_sort opto-electronic transducers for powerful generators mechanical fault diagnosing systems: software algorithms
url http://jnas.nbuv.gov.ua/article/UJRN-0001121747
work_keys_str_mv AT yeozaitsev optoelectronictransducersforpowerfulgeneratorsmechanicalfaultdiagnosingsystemssoftwarealgorithms