Dec 10, 2020 · This article develops a stacked generalization (stacking)-based incipient fault diagnosis scheme for the traction system of high-speed trains.
This article develops a stacked gen- eralization (stacking)-based incipient fault diagnosis scheme for the traction system of high-speed trains. To extract the ...
Incipient Fault Diagnosis for High-Speed Train Traction Systems via Stacked Generalization ... Full text for this resource is not available from the Research ...
Incipient fault diagnosis for high-speed train traction systems ...
www.sciengine.com › SSI-2020-0382
The incipient fault diagnosis of high-speed train traction systemsis a fundamental but essential task to guarantee the safety and reliability of high-speed ...
Oct 22, 2024 · Incipient fault diagnosis for high-speed train traction systems via improved LSTM ... stacked long short-term memory (ASLSTM) neural networks.
Mar 15, 2024 · This paper proposes a data-driven based fault diagnosis and fault-tolerant measurement framework.
Recent studies have explored fault diagnosis methods for high-speed train components, including traction systems [5], running gears [8], bogies [9], and yaw ...
Jan 25, 2024 · In this paper, an Adversarial Domain Adaptation Network with MixMatch (ADANM) is proposed for the incipient faults diagnosis of permanent magnet synchronous ...
Exploring real-time fault detection of high-speed train traction motor based on machine learning and wavelet analysis.
Apr 19, 2023 · Using support vector machine and other technologies to diagnose the composite fault of traction motor is the top priority to identify the fault ...