Digital twin-based anomaly detection for real-time tool condition monitoring in machining
Author:
Funder
EPSRC
Publisher
Elsevier BV
Reference31 articles.
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1. Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review;Journal of Sensor and Actuator Networks;2024-09-04
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3. A Review of Digital Twinning for Rotating Machinery;Sensors;2024-08-02
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