ReviewEntropy (Basel, Switzerland)2020
A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches.
Review in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed.
- Knowledge-Graph-Driven Fault Diagnosis Methods for Intelligent Production Lines.Sensors (Basel, Switzerland) · 2025Article
- Unsupervised Transfer Learning Method via Cycle-Flow Adversarial Networks for Transient Fault Detection under Various Operation Conditions.Sensors (Basel, Switzerland) · 2024Article
- Research on Performance Degradation Estimation of Key Components of High-Speed Train Bogie Based on Multi-Task Learning.Entropy (Basel, Switzerland) · 2023Article
- Fault Diagnosis for Complex Equipment Based on Belief Rule Base with Adaptive Nonlinear Membership Function.Entropy (Basel, Switzerland) · 2023Article
- Analysis of Gas Turbine Compressor Performance after a Major Maintenance Operation Using an Autoencoder Architecture.Sensors (Basel, Switzerland) · 2023Article
- A New Method of Wheelset Bearing Fault Diagnosis.Entropy (Basel, Switzerland) · 2022Article
- Algorithms and Methods for the Fault-Tolerant Design of an Automated Guided Vehicle.Sensors (Basel, Switzerland) · 2022Article
- Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network.Computational intelligence and neuroscience · 2022Article
- A Satellite Incipient Fault Detection Method Based on Decomposed Kullback-Leibler Divergence.Entropy (Basel, Switzerland) · 2021Article
- A Non-Contact Fault Diagnosis Method for Bearings and Gears Based on Generalized Matrix Norm Sparse Filtering.Entropy (Basel, Switzerland) · 2021Article
- Gearbox Failure Diagnosis Using a Multisensor Data-Fusion Machine-Learning-Based Approach.Entropy (Basel, Switzerland) · 2021Article
- Subway Gearbox Fault Diagnosis Algorithm Based on Adaptive Spline Impact Suppression.Entropy (Basel, Switzerland) · 2021Article
- Condition Assessment of Industrial Gas Turbine Compressor Using a Drift Soft Sensor Based in Autoencoder.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the qualitative approach is an important branch. Therefore, this survey will present a comprehensive review of these qualitative approaches from both theoretical and practical aspects. The primary task of this paper is to review the current development of these qualitative IFD techniques and then to present some of the latest results. Another major focus of our research is to introduce the background of high-speed trains, like the composition of the core subsystems, system structure, etc., based on which it becomes convenient for researchers to extract the diagnostic knowledge of high-speed trains, where the purpose is to understand how to use these types of knowledge. By reasonable utilization of the knowledge, it is hopeful to address various challenges caused by the coupling among subsystems of high-speed trains. Furthermore, future research trends for qualitative IFD approaches are also presented.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.