ArticleSensors (Basel, Switzerland)2018
EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Railway Axle Early Fatigue Crack Detection through Condition Monitoring Techniques.Sensors (Basel, Switzerland) · 2023Article
- Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy.Sensors (Basel, Switzerland) · 2022Article
- Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications.Sensors (Basel, Switzerland) · 2021Article
- Railway Axle Condition Monitoring Technique Based on Wavelet Packet Transform Features and Support Vector Machines.Sensors (Basel, Switzerland) · 2020Article
- A Novel Intelligent Fault Diagnosis Method for Rolling Bearing Based on Integrated Weight Strategy Features Learning.Sensors (Basel, Switzerland) · 2020Article
- A Rolling Bearing Fault Diagnosis Method Based on EEMD-WSST Signal Reconstruction and Multi-Scale Entropy.Entropy (Basel, Switzerland) · 2020Article
- Rope Tension Fault Diagnosis in Hoisting Systems Based on Vibration Signals Using EEMD, Improved Permutation Entropy, and PSO-SVM.Entropy (Basel, Switzerland) · 2020Article
- A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy.Entropy (Basel, Switzerland) · 2019Article
- Analysis of Weak Fault in Hydraulic System Based on Multi-scale Permutation Entropy of Fault-Sensitive Intrinsic Mode Function and Deep Belief Network.Entropy (Basel, Switzerland) · 2019Article
- Bearing Fault Diagnosis Considering the Effect of Imbalance Training Sample.Entropy (Basel, Switzerland) · 2019Article
- Partial Discharge Fault Diagnosis Based on Multi-Scale Dispersion Entropy and a Hypersphere Multiclass Support Vector Machine.Entropy (Basel, Switzerland) · 2019Article
- A Novel Mechanical Fault Feature Selection and Diagnosis Approach for High-Voltage Circuit Breakers Using Features Extracted without Signal Processing.Sensors (Basel, Switzerland) · 2019Article
- Application of an Improved Multipoint Optimal Minimum Entropy Deconvolution Adjusted for Gearbox Composite Fault Diagnosis.Sensors (Basel, Switzerland) · 2018Article
- A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications.Sensors (Basel, Switzerland) · 2018Review
- A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI.Entropy (Basel, Switzerland) · 2018Article
- Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions.Sensors (Basel, Switzerland) · 2018Article
- Effective Crack Detection in Railway Axles Using Vibration Signals and WPT Energy.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An efficient maintenance is a key consideration in systems of railway transport, especially in high-speed trains, in order to avoid accidents with catastrophic consequences. In this sense, having a method that allows for the early detection of defects in critical elements, such as the bogie mechanical components, is a crucial for increasing the availability of rolling stock and reducing maintenance costs. The main contribution of this work is the proposal of a methodology that, based on classical signal processing techniques, provides a set of parameters for the fast identification of the operating state of a critical mechanical system. With this methodology, the vibratory behaviour of a very complex mechanical system is characterised, through variable inputs, which will allow for the detection of possible changes in the mechanical elements. This methodology is applied to a real high-speed train in commercial service, with the aim of studying the vibratory behaviour of the train (specifically, the bogie) before and after a maintenance operation. The results obtained with this methodology demonstrated the usefulness of the new procedure and allowed for the disclosure of reductions between 15% and 45% in the spectral power of selected Intrinsic Mode Functions (IMFs) after the maintenance operation.
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Registered trials
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