Estimating Remaining Useful Life in Machines Using Artificial Intelligence: A Scoping Review

• Published in: Library philosophy and practice pp. 1 - 26
• Main Authors: Sayyad, Sameer, Kumar, Satish, Bongale, Arunkumar, Bongale, Anupkumar M, Patil, Shruti
• Format: Journal Article
• Language: English
• Published: Lincoln Library Philosophy and Practice 01.01.2021
• Subjects: Algorithms; Artificial intelligence; Bibliometrics; Classification; Deep learning; Internet of Things; Knowledge; Library and information science; Mathematical models; Neural networks; Preventive maintenance; Sensors; Support vector machines; Useful life
• ISSN: 1522-0222

The remaining useful life (RUL) estimations become one of the most essential aspects of predictive maintenance (PdM) in the era of industry 4.0. Predictive maintenance aims to minimize the downtime of machines or process, decreases maintenance costs, and increases the productivity of industries. The...