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Abdelillah, Fidma Mohamed; Nora, Hamour; Samir, Ouchani; Benslimane, Sidi Mohamed
2023 IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2023-Dec.-14Conference Proceeding
The advent of industry 4.0 (I4.0) has brought about significant advancements in manufacturing processes, leveraging advanced sensing and data analytics technologies to optimize efficiency. Within this paradigm, predictive maintenance (PdM) plays a crucial role in ensuring the reliability and availability of production systems. There are several existing approaches for PdM in I4.0, each with its own advantages and disadvantages. In this paper, we review the state-of-the-art related to PdM approaches in the context of I4.0. Our systematic literature review encompasses a comprehensive analysis of recent research, focusing on the different AI-based techniques employed in PdM applications. Through this survey, we aim to provide valuable insights into the current landscape of PdM methodologies and foster future innovations in this rapidly evolving field.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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