Xiaofeng Liu

Orcid: 0000-0002-6506-8933

Affiliations:
  • Chongqing University, State Key Laboratory of Mechanical Transmission for Advanced Equipment, China (PhD 2007)


According to our database1, Xiaofeng Liu authored at least 13 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bearing Multifault Impulse Detection Using Spike Period Volatility Factor Spectrogram.
IEEE Trans. Ind. Informatics, September, 2024

Cyclic Impulse Spectrum Analysis of Time-Frequency Slices for Axle-Box Bearing Fault Identification.
IEEE Trans. Veh. Technol., March, 2024

Quantitative Analysis of Micrometer-Scale Corrosion on Aluminum Plates Based on Lamb Wave Time-Frequency Distribution Covariance Dissimilarity.
IEEE Trans. Instrum. Meas., 2024

Feature-oriented unified dictionary learning-based sparse classification for multi-domain fault diagnosis.
Signal Process., 2024

2022
Fault Diagnosis of Rotating Machinery Under Multiple Operating Conditions Generalization: A Representation Gradient Muting Paradigm.
IEEE Trans. Instrum. Meas., 2022

An improved confusion matrix for fusing multiple K-SVD classifiers.
Knowl. Inf. Syst., 2022

A semi-supervised transferable LSTM with feature evaluation for fault diagnosis of rotating machinery.
Appl. Intell., 2022

2021
Detection and Quantization of Fatigue Damage in Laminated Composites With Cross Recursive Quantitative Analysis.
IEEE Trans. Ind. Informatics, 2021

A Novel Method for Remaining Useful Life Prediction of Roller Bearings Involving the Discrepancy and Similarity of Degradation Trajectories.
Comput. Intell. Neurosci., 2021

2020
Intelligent Diagnostics for Bearing Faults Based on Integrated Interaction of Nonlinear Features.
IEEE Trans. Ind. Informatics, 2020

2019
Bearing Fault Diagnosis Based on Subband Time-Frequency Texture Tensor.
IEEE Access, 2019

2017
Directional adaptive kernel distribution and its application.
IET Signal Process., 2017

2015
Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM.
Neurocomputing, 2015


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