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"

2 / 2 papers shown

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 H. Najjaran AI4CE 48 18 0 24 Jun 2022
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN Masoud Jalayer R. Jalayer A. Kaboli C. Orsenigo C. Vercellis 26 7 0 02 May 2021