Zobrazeno 1 - 10
of 12 957
pro vyhledávání: '"predictive maintenance"'
Autor:
Wiercioch Jakub
Publikováno v:
Production Engineering Archives, Vol 30, Iss 3, Pp 285-295 (2024)
In this paper, the concept of hybrid predictive maintenance for a single industrial machine is presented. A review of the solutions in the area of machine maintenance (especially predictive maintenance) which have been described in the literature is
Externí odkaz:
https://doaj.org/article/77755c6b602f412e84a92cc75e98dffb
Publikováno v:
Journal of Quality in Maintenance Engineering, 2024, Vol. 30, Issue 3, pp. 540-561.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JQME-12-2023-0115
Publikováno v:
Vojenské rozhledy, Vol 33, Iss 3, Pp 62-75 (2024)
Maintenance and repair (M&R) of military equipment are crucial for operational readiness. The article highlights challenges faced by military forces, particularly in the US, with significant equipment non-operable due to inefficient M&R. It emphasize
Externí odkaz:
https://doaj.org/article/c57a4e149b4e4b4498f9c0c033f722c2
Autor:
Liu, Zengkun, Hui, Justine
Publikováno v:
Sensor Review, 2024, Vol. 44, Issue 5, pp. 563-574.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-03-2024-0183
Autor:
LIU Wang, CHEN Lian, GONG Gaoyang, LI Zhihua, XUE Wenhua, SHI Jingang, XIE Jun, LI Leilei, YAO Rongcai, WANG Zhaopeng, YANG Yanxi, DENG Yi, ZHANG Chenhui
Publikováno v:
发电技术, Vol 45, Iss 4, Pp 622-632 (2024)
ObjectivesIn order to solve the shortcomings of the traditional preventive maintenance method of air preheater in large thermal power unit, a general mode of predictive maintenance based on digital twin was proposed, and the digital twin system of ai
Externí odkaz:
https://doaj.org/article/a4fa11f82a5c414fbfeabe8599e30ad6
Publikováno v:
ESPOCH Congresses, Vol 3, Iss 3, Pp 60-85 (2024)
Abstract The application of artificial intelligence is a recent improvement in the industry, allowing preventive maintenance to be applied as a reliability method for detecting failures in hydraulic systems. This is achieved by using artificial neura
Externí odkaz:
https://doaj.org/article/2c91dbc72e0f41639fd7347d823ebf04
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-22 (2024)
Abstract Prognostics and health management (PHM) has gotten considerable attention in the background of Industry 4.0. Battery PHM contributes to the reliable and safe operation of electric devices. Nevertheless, relevant reviews are still continuousl
Externí odkaz:
https://doaj.org/article/b539541165894f52ad6443953fd481df
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract Bike-sharing systems have emerged as a significant element of urban mobility, providing an environmentally friendly transportation alternative. With the increasing integration of electric bikes alongside mechanical bikes, it is crucial to il
Externí odkaz:
https://doaj.org/article/1d2c73c79e3a4ab7bb40acf96340fb31
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 112-123 (2024)
This study aims to detect electrical panel fires using the Internet of Things (IoT) framework and Machine Learning (ML) algorithms. Within the scope of the study, an experimental process was carried out using Arduino and Raspberry Pi platforms to col
Externí odkaz:
https://doaj.org/article/66781e9ad42144fbb6b60d19fa953c5a
Series manufacturers in the field of hydroforming face intense competition from alternative conventional manufacturing methods and their cost criteria. Changing production requirements in the globalized market environment require flexible action with
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A90344
https://tud.qucosa.de/api/qucosa%3A90344/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A90344/attachment/ATT-0/
