Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
Eastern Mediterranean University
Abstract
Recently, with the emergence of Industry 4.0 (I4.0), smart systems, machine learning (ML) within artificial intelligence (AI), predictive maintenance (PdM) approaches have been extensively applied in industries for handling the health status of industrial equipment. Due to digital transformation towards I4.0, information techniques, computerized control, and communication networks, it is possible to collect massive amounts of operational and processes conditions data generated form several pieces of equipment and harvest data for making an automated fault detection and diagnosis with the aim to minimize downtime and increase utilization rate of the components and increase their remaining useful lives. PdM is…
Citation impact
- FWCI
- 54.38
- Percentile
- 100%
- References
- 118
Authors
6Topics & keywords
- Downtime
- Predictive maintenance
- Industry 4.0
- Computer science
- Manufacturing engineering
- Machine learning
- Artificial intelligence
- Manufacturing
- Industry, innovation and infrastructure