Jing Lin

Orcid: 0000-0002-7670-1482

Affiliations:
  • Beihang University, Science & Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China


According to our database1, Jing Lin authored at least 51 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Harmonic Sparse Structured Nonnegative Matrix Factorization: A Novel Method for the Separation of Coupled Fault Feature.
IEEE Trans. Ind. Informatics, April, 2024

Entropy-Oriented Domain Adaptation for Intelligent Diagnosis of Rotating Machinery.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

2023
Self-Training Reinforced Adversarial Adaptation for Machine Fault Diagnosis.
IEEE Trans. Ind. Electron., November, 2023

Acoustic Emission-Based Cross-Domain Process Health Monitoring for Additive Manufacturing.
IEEE Trans. Instrum. Meas., 2023

The High-Sparsity Lamb Wavefield Reconstruction Framework Based on Masked Autoencoder.
IEEE Trans. Instrum. Meas., 2023

Source-Free Adaptation Diagnosis for Rotating Machinery.
IEEE Trans. Ind. Informatics, 2023

Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis.
IEEE Trans. Ind. Electron., 2023

2022
Towards Prediction Constraints: A Novel Domain Adaptation Method for Machine Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2022

Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal.
IEEE Trans. Ind. Electron., 2022

Multi-Weight Domain Adversarial Network for Partial-Set Transfer Diagnosis.
IEEE Trans. Ind. Electron., 2022

Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis.
Neural Networks, 2022

Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data.
Knowl. Based Syst., 2022

A mixed adversarial adaptation network for intelligent fault diagnosis.
J. Intell. Manuf., 2022

2020
Simultaneous Input and State Estimation for Integrated Motor-Transmission Systems in a Controller Area Network Environment via an Adaptive Unscented Kalman Filter.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis.
IEEE Trans. Ind. Informatics, 2020

Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Electron., 2020

Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data.
IEEE Trans. Ind. Electron., 2020

Double-level adversarial domain adaptation network for intelligent fault diagnosis.
Knowl. Based Syst., 2020

A comprehensive review on convolutional neural network in machine fault diagnosis.
Neurocomputing, 2020

2019
A Data-Driven Monitoring Scheme for Rotating Machinery Via Self-Comparison Approach.
IEEE Trans. Ind. Informatics, 2019

Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band.
IEEE Trans. Ind. Electron., 2019

Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Electron., 2019

Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings.
Reliab. Eng. Syst. Saf., 2019

2018
NH<sub>3</sub> Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter.
IEEE Trans. Veh. Technol., 2018

Health Assessment of Rotating Machinery Using a Rotary Encoder.
IEEE Trans. Ind. Electron., 2018

A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes.
Knowl. Based Syst., 2018

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines.
Neurocomputing, 2018

2017
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models.
IEEE Trans. Ind. Electron., 2017

A Modified Lamb Wave Time-Reversal Method for Health Monitoring of Composite Structures.
Sensors, 2017

A recurrent neural network based health indicator for remaining useful life prediction of bearings.
Neurocomputing, 2017

An improved fusion prognostics method for remaining useful life prediction of bearings.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

Machine remaining useful life prediction considering unit-to-unit variability.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

Weak signal detection based on underdamped multistable stochastic resonance.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016
Search and Rescue Using Multiple Drones in Post-Disaster Situation.
Unmanned Syst., 2016

A Model-Based Method for Remaining Useful Life Prediction of Machinery.
IEEE Trans. Reliab., 2016

A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2016

High-Resolution Lamb Wave Inspection in Viscoelastic Composite Laminates.
IEEE Trans. Ind. Electron., 2016

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data.
IEEE Trans. Ind. Electron., 2016

Feature Mining and Health Assessment for Gearboxes Using Run-Up/Coast-Down Signals.
Sensors, 2016

Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves.
Sensors, 2016

The effects of frequency-dependent amplitude characteristic on testing resolution of ultrasonic guided waves.
Proceedings of the IECON 2016, 2016

A method of automatic feature extraction from massive vibration signals of machines.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

Reconstruction independent component analysis-based methods for intelligent fault diagnosis.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

2015
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings.
IEEE Trans. Ind. Electron., 2015

Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution.
Sensors, 2015

Drones for cooperative search and rescue in post-disaster situation.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

2014
Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis.
Sensors, 2014

2013
Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds.
Sensors, 2013

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition.
Sensors, 2013

2012
A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes.
Sensors, 2012

Fast-varying AM-FM components extraction based on an adaptive STFT.
Digit. Signal Process., 2012


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