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Predictive maintenance using digital twins: A systematic literature review

Abstract
Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine is frequently repaired before failure. Digital Twins provide a real-time representation of the physical machine and generate data, such as asset degradation, which the predictive maint...
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Keywords
Predictive maintenance
Computer science
Key (lock)
Data science
Abstraction
Corrective maintenance
Machine learning
Engineering
Reliability engineering
Preventive maintenance
Computer security
Philosophy
Epistemology
Sustainable Development Goals (SDG)
Industry, innovation and infrastructure


pdf file

Predictive maintenance using digital twins: A systematic literature review
pdf file

Predictive maintenance using digital twins: A systematic literature review

Abstract
Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine is frequently repaired before failure. Digital Twins provide a real-time representation of the physical machine and generate data, such as asset degradation, which the predictive maint...
View PDF
Keywords
Predictive maintenance
Computer science
Key (lock)
Data science
Abstraction
Corrective maintenance
Machine learning
Engineering
Reliability engineering
Preventive maintenance
Computer security
Philosophy
Epistemology
Sustainable Development Goals (SDG)
Industry, innovation and infrastructure


pdf file