A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series

1 April 2019

Papers citing "A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series"

8 / 8 papers shown

Title
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data Wenqian Jiang Junyang Jin 49 5 0 20 Jan 2025
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 51 5 0 16 Jul 2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
Imbalanced Aircraft Data Anomaly Detection Hao Yang Junyuan Gao Yuan. Yuan Xuelong Li AI4TS 19 4 0 17 May 2023
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation Yueyang Gu F. Jazizadeh AI4TS 18 0 0 05 Oct 2022
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection Yeonghyeon Park JongHee Jung 27 4 0 22 Nov 2021
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning Andrea Castellani Sebastian Schmitt S. Squartini 9 110 0 12 Nov 2020
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis Masoumeh Zareapoor Pourya Shamsolmoali Jie Yang 38 98 0 07 Aug 2020