Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN

24 June 2022

Papers citing "Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN"

6 / 6 papers shown

Title
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies Maryam Ahang Todd Charter Oluwaseyi Ogunfowora Maziyar Khadivi Mostafa Abbasi H. Najjaran AI4CE 45 2 0 03 Jan 2024
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations Assef Ghamisi Todd Charter Li Ji M. Rivard G. Lund H. Najjaran 34 7 0 15 Jul 2023
Reinforcement and Deep Reinforcement Learning-based Solutions for Machine Maintenance Planning, Scheduling Policies, and Optimization Oluwaseyi Ogunfowora H. Najjaran OffRL 25 42 0 07 Jul 2023
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery Masoud Jalayer A. Kaboli C. Orsenigo C. Vercellis AI4CE 51 19 0 09 Feb 2022
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,455 0 21 Nov 2016