Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection

No abstract is available for this paper.

• Publication year

  2023

• Venue

  Mechanical systems and signal processing

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.ymssp.2022.109856
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On-board measurement of aerodynamic loads for high-speed trains negotiating transitions in windbreak walls

  2022cited by this paper
• Ultrasonic guided wave imaging with deep learning: Applications in corrosion mapping

  2022cited by this paper
• Automatic clustering-based approach for train wheels condition monitoring

  2022cited by this paper
• Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation

  2022cited by this paper
• A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

  2022cited by this paper
• Early wheel flat detection: an automatic data-driven wavelet-based approach for railways

  2022cited by this paper
• The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity

  2021cited by this paper
• Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications

  2021cited by this paper
• Wheel flat analogue fault detector verification study under dynamic testing conditions using a scaled bogie test rig

  2021cited by this paper
• A spatial coupling model to study dynamic performance of pantograph-catenary with vehicle-track excitation

  2021cited by this paper
• A two-level adaptive chirp mode decomposition method for the railway wheel flat detection under variable-speed conditions

  2021cited by this paper
• Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

  2021cited by this paper
• MBSNet: A deep learning model for multibody dynamics simulation and its application to a vehicle-track system

  2021cited by this paper
• Coupled dynamic behaviours of the brake system considering wheel–rail interactions

  2021cited by this paper
• An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm

  2020cited by this paper
• A data-driven method for estimating wheel flat length

  2020cited by this paper
• Applications of machine learning to machine fault diagnosis: A review and roadmap

  2020cited by this paper
• Wheel flat can cause or exacerbate wheel polygonization

  2020cited by this paper
• Erratum to: Quantification of the influence of rolling stock failures on track deterioration

  2020cited by this paper
• An approach for wheel flat detection of railway train wheels using envelope spectrum analysis

  2020cited by this paper
• Polygonisation of railway wheels: a critical review

  2020cited by this paper
• Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw

  2020cited by this paper
• Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

  2019cited by this paper
• Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

  2019cited by this paper
• University of Groningen Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls

  2019cited by this paper
• Impact detection using a machine learning approach and experimental road roughness classification

  2019cited by this paper
• Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

  2019cited by this paper
• Artificial intelligence for fault diagnosis of rotating machinery: A review

  2018cited by this paper
• On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning

  2018cited by this paper
• SphereFace: Deep Hypersphere Embedding for Face Recognition

  2017cited by this paper
• Fault detection method for railway wheel flat using an adaptive multiscale morphological filter

  2017cited by this paper
• Why TanH is a Hardware Friendly Activation Function for CNNs

  2017cited by this paper
• An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection

  2017cited by this paper
• Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

  2016cited by this paper
• Research on the principle of railway wheel out-ofroundness on-line dynamic detecting system based on Laser measurement

  2014cited by this paper
• Adaptive stochastic resonance method for impact signal detection based on sliding window

  2013cited by this paper
• An ultrasonic sensor for monitoring wheel flange/rail gauge corner contact

  2013cited by this paper
• Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques

  2013cited by this paper
• Development of a Fiber-Optic Sensing System for Train Vibration and Train Weight Measurements in Hong Kong

  2012cited by this paper
• ImageNet classification with deep convolutional neural networks

  2012cited by this paper
• Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors

  2011cited by this paper
• Impact analysis for Variable-Speed bearing fault detection

  2011cited by this paper
• Optimization procedure for the impact detection thresholds in an Accelerometer Smart Sensor

  2009cited by this paper
• Determination of Railway Vertical Wheel Impact Magnitudes: Field Trials

  2007cited by this paper
• Structural Health Monitoring of Railroad Wheels Using Wheel Impact Load Detectors

  2007cited by this paper
• Wheel-flat diagnostic tool via wavelet transform

  2006cited by this paper
• Monitoring of Rail-Wheel Interaction Using Acoustic Emission (AE)

  2006cited by this paper
• Out-of-round railway wheels—wheel-rail contact forces and track response derived from field tests and numerical simulations

  2003cited by this paper
• Robustness enhancement of machine fault diagnostic models for railway applications through data augmentation

  year unknowncited by this paper

• DAS-Accelerometer Data Fusion With Semi-Supervised Graph Variational Autoencoder for In-Service Train Wheel Flat Detection

  2026cites this paper
• A physics-guided neural network with embedded multi-wheel FRF for robust wheel polygonal wear diagnosis

  2026cites this paper
• Incipient fault detection of railway point machines using flexible convex hull-based one-class tensor machine under weak-feature condition

  2025cites this paper
• Reinforced adversarial domain-adaptive bearing fault diagnosis based on subset pseudo-label

  2025cites this paper
• Data-driven diagnosis of railway wheel flat based on multi-channel vibration data fusion

  2025cites this paper
• A method of rotating machinery instantaneous angular parameters using visual tracking transformation

  2025cites this paper
• Research on the development and application of railway flaw detection technology

  2025cites this paper
• Identification of wheel hollow-worn under complex environment based on mutability and continuity

  2025cites this paper
• Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery

  2025cites this paper
• Image texture feature fusion enhancement for bearing fault diagnosis based on maximum gradient

  2025cites this paper
• Detection of Railway Wheel Flat Based on CBAM-Enhanced ResNet for Imbalanced Data

  2025cites this paper
• Detection of Train Wheelset Tread Defects with Small Samples Based on Local Inference Constraint Network

  2024cites this paper
• A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders

  2024cites this paper
• A Systematic Literature Review of Defect Detection in Railways Using Machine Vision-Based Inspection Methods

  2024cites this paper
• On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review

  2024cites this paper
• Multidomain Class-Imbalance Generalization With Fault Relationship-Induced Augmentation for Intelligent Fault Diagnosis

  2024cites this paper
• Transfer-AE: A novel autoencoder-based impact detection model for structural digital twin

  2024cites this paper
• Optimal design of dynamic vibration absorber for elastic vibration control of vehicle carbody in time-varying service environment

  2024cites this paper
• Fault diagnosis of railway wheelsets: A review

  2024cites this paper
• Perception and reconstruction of temperature field in forgings based on physical model and CNN model

  2024cites this paper
• A structure information-assisted generalization network for fault diagnosis of out-of-round wheels of metro trains

  2024cites this paper
• TRAIN WHEEL OUT-OF-ROUNDNESS (OOR) AND MACHINE LEARNING-VIBRATION BASED FAULT DIAGNOSIS: A REVIEW

  2024cites this paper
• Fault Identification of Rotating Machinery Based on Dynamic Feature Reconstruction Signal Graph

  2024cites this paper
• A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings

  2024cites this paper
• Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis

  2024cites this paper
• Fault Diagnosis of Gearbox Based on Refined Topology and Spatio-Temporal Graph Convolutional Network

  2024cites this paper
• Bistable shock isolator tuned to zero-frequency singularity for platform protection

  2024cites this paper
• An interpretable waveform segmentation model for bearing fault diagnosis

  2024cites this paper
• Wheel flat detection by using the angular domain synchronous averaging method and axle box acceleration: Simulation and experiment

  2024cites this paper
• Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder

  2024cites this paper
• Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System

  2024cites this paper
• Fault Diagnosis Scheme for Railway Switch Machine Using Multi-Sensor Fusion Tensor Machine

  2024cites this paper
• A novel vertical elastic vibration reduction for railway vehicle carbody based on minimum generalized force principle

  2023cites this paper
• A Methodology of Condition Monitoring System Utilizing Supervised and Semi-Supervised Learning in Railway

  2023cites this paper
• Wheel Defect Detection Using Attentive Feature Selection Sequential Network With Multidimensional Modeling of Acoustic Emission Signals

  2023cites this paper
• Integrating adaptive input length selection strategy and unsupervised transfer learning for bearing fault diagnosis under noisy conditions

  2023cites this paper
• A Muti-stage Selection Filter Based on Wavelet Packet and 2DCNN for Fault Diagnosis of Rotating Machinery

  2023cites this paper
• Unsupervised transfer learning for intelligent health status identification of bearing in adaptive input length selection

  2023cites this paper
• High-speed railway wheel polygon detection framework using improved frequency domain integration

  2023cites this paper
• Recognition Method for Electronic Component Signals Based on LR-SMOTE and Improved Random Forest Algorithm

  2023cites this paper
• A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification

  2023cites this paper
• Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

  2023cites this paper
• Dynamic Characteristics and Fault Mechanism of the Gear Tooth Spalling in Railway Vehicles under Traction Conditions

  2023cites this paper