Slow feature analysis-aided detection and diagnosis of incipient faults for running gear systems of high-speed trains-Reference-Cited by-同舟云学术

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Slow feature analysis-aided detection and diagnosis of incipient faults for running gear systems of high-speed trains

Published:2021-06 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Cheng Chao,Liu Ming^ORCID,Chen Hongtian^ORCID,Xie Pu,Zhou Yang

Funder

Jilin Province Development and Reform Commission

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference35 articles.

1. A review of fault detection and diagnosis for the traction system in high-speed trains;Chen;IEEE Trans Intell Transport Syst,2020

2. Fault detection and isolation of the brake cylinder system for electric multiple units;Zhou;IEEE Trans Control Syst Technol,2018

3. Data-driven detection and diagnosis of incipient faults in electrical drives of high-speed trains;Chen;IEEE Trans Ind Electron,2019

4. Voltage difference residual-based open-circuit fault diagnosis approach for three-level converters in electric traction systems;Yang;IEEE Trans Power Electron,2020

5. Deep pca based real-time incipient fault detection and diagnosis methodology for electrical drive in high-speed trains;Chen;IEEE Trans Veh Technol,2018

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1. Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes;Engineering Applications of Artificial Intelligence;2024-10

2. Unsupervised Transfer Learning Method via Cycle-Flow Adversarial Networks for Transient Fault Detection under Various Operation Conditions;Sensors;2024-07-25

3. Theory, validation, and improvement of four enhancement algorithms for repetitive impulses;Physica A: Statistical Mechanics and its Applications;2024-07

4. Semi-supervised fault diagnosis of wheelset bearings in high-speed trains using autocorrelation and improved flow Gaussian mixture model;Engineering Applications of Artificial Intelligence;2024-06

5. Dynamic Weighted Slow Feature Analysis-based Fault Detection for Running Gear Systems of High-speed Trains;International Journal of Control, Automation and Systems;2024-05-28

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