Ensemble decision approach with dislocated time–frequency representation and pre-trained CNN for fault diagnosis of railway vehicle gearboxes under variable conditions

Model Parameter Transfer for Gear Fault Diagnosis under Varying Working Conditions

(2021) Chao Chen et al.   Chinese Journal of Mechanical Engineering

A two-level adaptive chirp mode decomposition method for the railway wheel flat detection under variable-speed conditions

(2021) Shiqian Chen et al.   JOURNAL OF SOUND AND VIBRATION

Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing

(2021) Yuqing Liu et al.   Railway Engineering Science

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

(2021) Zhiyi He et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Analytical investigation of profile shifts on the mesh stiffness and dynamic characteristics of spur gears

(2021) Jinhai Wang et al.   MECHANISM AND MACHINE THEORY

Nonsmooth Dynamics of a Gear-Wheelset System of Railway Vehicles Under Traction/Braking Conditions

(2020) Jinhai Wang et al.   Journal of Computational and Nonlinear Dynamics

A lightweight neural network with strong robustness for bearing fault diagnosis

(2020) Dechen Yao et al.   MEASUREMENT

Ensemble deep transfer learning driven by multisensor signals for the fault diagnosis of bevel-gear cross-operation conditions

(2020) ZiYang Di et al.   Science China-Technological Sciences

A comparative study of the vibration characteristics of railway vehicle axlebox bearings with inner/outer race faults

(2020) Jinhai Wang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

(2020) Haidong Shao et al.   IEEE Transactions on Industrial Informatics

Image representation of vibration signals and its application in intelligent compound fault diagnosis in railway vehicle wheelset-axlebox assemblies

(2020) Yongliang Bai et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Methods for fault diagnosis of high-speed railways: A review

(2019) Yu Zang et al.   Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability

Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes

(2019) Rodrigo P. Monteiro et al.   Computational Intelligence and Neuroscience

Deep convolutional neural network based planet bearing fault classification

(2019) Dezun Zhao et al.   COMPUTERS IN INDUSTRY

Bearing performance degradation assessment using long short-term memory recurrent network

(2019) Bin Zhang et al.   COMPUTERS IN INDUSTRY

Tri-axial vibration information fusion model and its application to gear fault diagnosis in variable working conditions

(2019) Jianwei Yang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method

(2019) Zenghui An et al.   NEUROCOMPUTING

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

(2018) Haidong Shao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines

(2018) Yanxue Wang et al.   IEEE Transactions on Industrial Informatics

Wheel Defect Detection With Machine Learning

(2018) Gabriel Krummenacher et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A novel tracking deep wavelet auto-encoder method for intelligent fault diagnosis of electric locomotive bearings

(2018) Shao Haidong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Quasi-static analysis of the nonlinear behavior of a railway vehicle gear system considering time-varying and stochastic excitation

(2018) Jinhai Wang et al.   NONLINEAR DYNAMICS

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

A Novel Method of Frequency Band Selection for Squared Envelope Analysis for Fault Diagnosing of Rolling Element Bearings in a Locomotive Powertrain

(2018) Lang Xu et al.   SENSORS

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

(2018) Roozbeh Razavi-Far et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

(2017) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

A SVM framework for fault detection of the braking system in a high speed train

(2017) Jie Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault detection method for railway wheel flat using an adaptive multiscale morphological filter

(2017) Yifan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive

(2017) Zipeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Two new features for condition monitoring and fault diagnosis of planetary gearboxes

(2013) Yaguo Lei et al.   JOURNAL OF VIBRATION AND CONTROL

EEMD method and WNN for fault diagnosis of locomotive roller bearings

(2010) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS