[Retracted] A New Method for Inverter Diagnosis of Electric Locomotive Using Adversarial Neural Networks
Y Shi, C Chen, Y Luo - Security and Communication Networks, 2022 - Wiley Online Library
In order to improve the fault diagnosis accuracy of the electric locomotive inverter, this article
combines the adversarial neural network to construct the electric locomotive inverter …
combines the adversarial neural network to construct the electric locomotive inverter …
[PDF][PDF] A Novel Motor Fault Diagnosis Method Based on Generative Adversarial Learning with Distribution Fusion of Discrete Working Conditions.
Q Lan, B Chen, B Yao - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
Many kinds of electrical equipment are used in civil and building engineering. The motor is
one of the main power components of this electrical equipment, which can provide stable …
one of the main power components of this electrical equipment, which can provide stable …
Data augmentation strategy for power inverter fault diagnosis based on wasserstein distance and auxiliary classification generative adversarial network
Q Sun, F Peng, X Yu, H Li - Reliability Engineering & System Safety, 2023 - Elsevier
With the rapid development of new energy vehicles, the brushless DC motor (BLDCM) drive
system's reliability and safety have attracted extensive attention. The three-phase full-bridge …
system's reliability and safety have attracted extensive attention. The three-phase full-bridge …
Fault diagnosis system for induction motors by CNN using empirical wavelet transform
YM Hsueh, VR Ittangihal, WB Wu, HC Chang, CC Kuo - Symmetry, 2019 - mdpi.com
Detecting the faults related to the operating condition of induction motors is a very important
task for avoiding system failure. In this paper, a novel methodology is demonstrated to detect …
task for avoiding system failure. In this paper, a novel methodology is demonstrated to detect …
An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition
Z Wang, J Wang, Y Wang - Neurocomputing, 2018 - Elsevier
Planetary gearbox has complex structures and works under various non-stationary
operating conditions. The vibration signals of planetary gearbox are complicated and …
operating conditions. The vibration signals of planetary gearbox are complicated and …
Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network
Y Wang, G Sun, Q Jin - Applied Soft Computing, 2020 - Elsevier
In many real applications of planetary gearbox fault diagnosis, the number of fault samples
is much less than normal samples while fault samples are hard to collected in different …
is much less than normal samples while fault samples are hard to collected in different …
Data augment method for machine fault diagnosis using conditional generative adversarial networks
J Wang, B Han, H Bao, M Wang… - Proceedings of the …, 2020 - journals.sagepub.com
As a useful data augmentation technique, generative adversarial networks have been
successfully applied in fault diagnosis field. But traditional generative adversarial networks …
successfully applied in fault diagnosis field. But traditional generative adversarial networks …
A deep adversarial diagnosis method for fault line detection with imbalanced small sample scenarios
Y Wang, J Zhang, Y Wu, Y Tian, Y Shao - … of the 16th Annual Conference of …, 2022 - Springer
Abstract Single-line-to-ground (SLG) fault line detection is crucial for electric utilities to
achieve fault isolation and service restoration. The transient zero-sequence current (TZSC) …
achieve fault isolation and service restoration. The transient zero-sequence current (TZSC) …
Reliable IoT paradigm with ensemble machine learning for faults diagnosis of power transformers considering adversarial attacks
Power transformer represents an important equipment in electric power systems.
Transformers are not only a source of power outages for electric utilities, but they also affect …
Transformers are not only a source of power outages for electric utilities, but they also affect …
An improved generative adversarial network for fault diagnosis of rotating machine in nuclear power plant
Z Wang, H Xia, W Yin, B Yang - Annals of Nuclear Energy, 2023 - Elsevier
Due to the wide application and high safety requirements of rotating machines in nuclear
power plants (NPPs), it has received more and more attention. The rotating machines fault …
power plants (NPPs), it has received more and more attention. The rotating machines fault …