Anomaly Detection for Predictive Maintenance in Industry 4.0- A survey

• Published in: E3S web of conferences Vol. 170; p. 2007
• Main Authors: Kamat, Pooja, Sugandhi, Rekha
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2020
• Subjects: Abnormalities; Anomalies; Artificial intelligence; Breakdowns; Deep learning; Downtime; Failure; Industrial Internet of Things; Industry 4.0; Machine learning; Manufacturers; Manufacturing; Manufacturing industry; Predictive maintenance; Preventive maintenance; Process controls; Productivity; Sensors; Statistical analysis; India

Maintenance and reliability professionals in the manufacturing industry have the primary goal of improving asset availability. Poor and fewer maintenance strategies can result in lower productivity of machinery. At the same time unplanned downtimes due to frequent maintenance activities can lead to...