Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

9 February 2022

Papers citing "Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery"

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Title
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN Maryam Ahang Masoud Jalayer Ardeshir Shojaeinasab Oluwaseyi Ogunfowora Todd Charter Homayoun Najjaran AI4CE 94 21 0 24 Jun 2022