دورية أكاديمية

Automating log analysis for industrial equipment maintenance using elastic stack

التفاصيل البيبلوغرافية
العنوان: Automating log analysis for industrial equipment maintenance using elastic stack
المؤلفون: Nezhmetdinov Ramil, Kotyrova Shirin, Nezhmetdinova Ramilya, Kovalev Ilya
المصدر: E3S Web of Conferences, Vol 389, p 01064 (2023)
بيانات النشر: EDP Sciences, 2023.
سنة النشر: 2023
المجموعة: LCC:Environmental sciences
مصطلحات موضوعية: Environmental sciences, GE1-350
الوصف: Contemporary technological equipment generates a substantial amount of data that can provide insights into system performance and help predict failures and critical errors. However, manual analysis of this data is time-consuming, and hence there is a need for automated tools to collect, process, and store log files. In this context, the study aims to develop an information system that can streamline log file analysis using ELK software solutions from the IT industry. The article explores the structure and components of ELK software and develops a software solution's structural diagram and architecture for practical use. Based on the conducted research, a software solution was implemented, and log data provided by the NASA Ames Research Center was analyzed and visualized through graphs and histograms. The study's novelty lies in using the ELK software stack for log file analysis of technological equipment, which is a widely used solution in the IT industry. The proposed system aims to reduce log file analysis time and help make informed decisions about system performance and maintenance.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2267-1242
Relation: https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/26/e3sconf_uesf2023_01064.pdf; https://doaj.org/toc/2267-1242
DOI: 10.1051/e3sconf/202338901064
URL الوصول: https://doaj.org/article/6022d8620eee45ee9c3538d92c6565e1
رقم الأكسشن: edsdoj.6022d8620eee45ee9c3538d92c6565e1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22671242
DOI:10.1051/e3sconf/202338901064