Benefits of Using Digital Twin for Online Fault Diagnosis of a Manufacturing System
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30510-8_12
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5. Han T, Jiang D, Zhao Q, Wang L, Yin K (2018) Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery. Trans Inst Meas Control 40(8):2681–2693
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