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Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities

PaperCitations, authors & open-access status

Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 122 citations, 2020 year and green oa status.

122
Citations
2020
Year
green
OA Status

Related on ScholarIQ

Francesco Costantino
Author
Journal of Manufacturing Systems
Journal
Fault Detection and Control Systems
Topic
Fault Detection and Control Systems
Topic
Anomaly Detection Techniques and Applications
Topic
Advanced Statistical Process Monitoring
Topic
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