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Development of a software package for acoustic emission control data analysis. / Belousova, Victoria; Grigorieva, Anastasia.

Development of a software package for acoustic emission control data analysis. 2018. стр. 61-66 (CEUR Workshop Proceedings; Том 2135).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Belousova, V & Grigorieva, A 2018, Development of a software package for acoustic emission control data analysis. в Development of a software package for acoustic emission control data analysis. CEUR Workshop Proceedings, Том. 2135, стр. 61-66, 3rd Conference on Software Engineering and Information Management, SEIM 2018, Saint Petersburg, Российская Федерация, 14/04/18. <https://seim-conf.org/media/materials/2018/proceedings/SEIM-2018_Full_Papers.pdf#page=62>

APA

Belousova, V., & Grigorieva, A. (2018). Development of a software package for acoustic emission control data analysis. в Development of a software package for acoustic emission control data analysis (стр. 61-66). (CEUR Workshop Proceedings; Том 2135). https://seim-conf.org/media/materials/2018/proceedings/SEIM-2018_Full_Papers.pdf#page=62

Vancouver

Belousova V, Grigorieva A. Development of a software package for acoustic emission control data analysis. в Development of a software package for acoustic emission control data analysis. 2018. стр. 61-66. (CEUR Workshop Proceedings).

Author

Belousova, Victoria ; Grigorieva, Anastasia. / Development of a software package for acoustic emission control data analysis. Development of a software package for acoustic emission control data analysis. 2018. стр. 61-66 (CEUR Workshop Proceedings).

BibTeX

@inproceedings{6fc6425f8cc247ec83b10fbe7a29a53c,
title = "Development of a software package for acoustic emission control data analysis",
abstract = "—The following article addresses a software package developed for working with data obtained during monitoring the detection of material defects via the acoustic emission (AE) method. Timely detection of cracks allows to prevent contingencies and accidents at early stages. This paper describes the architecture of this software, as well as the used calculation methods, provides visualized results of their work, and compares them with other analysis methods. The innovation of this work is the use of the moving window method for AE data analysis. Obtained results indicate the practical importance and relevance of our research in this area.",
author = "Victoria Belousova and Anastasia Grigorieva",
year = "2018",
month = jan,
day = "1",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "RWTH Aahen University",
pages = "61--66",
booktitle = "Development of a software package for acoustic emission control data analysis",
note = "3rd Conference on Software Engineering and Information Management, SEIM 2018 ; Conference date: 14-04-2018",

}

RIS

TY - GEN

T1 - Development of a software package for acoustic emission control data analysis

AU - Belousova, Victoria

AU - Grigorieva, Anastasia

PY - 2018/1/1

Y1 - 2018/1/1

N2 - —The following article addresses a software package developed for working with data obtained during monitoring the detection of material defects via the acoustic emission (AE) method. Timely detection of cracks allows to prevent contingencies and accidents at early stages. This paper describes the architecture of this software, as well as the used calculation methods, provides visualized results of their work, and compares them with other analysis methods. The innovation of this work is the use of the moving window method for AE data analysis. Obtained results indicate the practical importance and relevance of our research in this area.

AB - —The following article addresses a software package developed for working with data obtained during monitoring the detection of material defects via the acoustic emission (AE) method. Timely detection of cracks allows to prevent contingencies and accidents at early stages. This paper describes the architecture of this software, as well as the used calculation methods, provides visualized results of their work, and compares them with other analysis methods. The innovation of this work is the use of the moving window method for AE data analysis. Obtained results indicate the practical importance and relevance of our research in this area.

UR - http://www.scopus.com/inward/record.url?scp=85050493786&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85050493786

T3 - CEUR Workshop Proceedings

SP - 61

EP - 66

BT - Development of a software package for acoustic emission control data analysis

T2 - 3rd Conference on Software Engineering and Information Management, SEIM 2018

Y2 - 14 April 2018

ER -

ID: 36868773