Machine learning approaches for equipment failure prediction and predictive maintenance: a comprehensive review; Молодежь и современные информационные технологии
| Parent link: | Молодежь и современные информационные технологии.— 2024.— С. 123-125 |
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| Summary: | This comprehensive review explores the application of machine learning techniques in predicting equipment failures and facilitating predictive maintenance strategies. Drawing from recent literature and case studies, the paper examines various machine learning algorithms and methodologies employed in this domain. Key findings highlight the effectiveness of machine learning models in pre emptively identifying potential equipment failures, thereby enhancing maintenance practices and minimizing downtime. Implications for industries reliant on machinery and suggestions for future research directions are discussed Текстовый файл |
| Language: | English |
| Published: |
2024
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| Series: | Искусственный интеллект, машинное обучение и большие данные |
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| Online Access: | http://earchive.tpu.ru/handle/11683/84806 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=675331 |