Xingxing Jiang
Orcid: 0000-0003-2987-6930
According to our database1,
Xingxing Jiang
authored at least 74 papers
between 2017 and 2025.
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Collaborative distances:
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Bibliography
2025
Working condition decoupling adversarial network: A novel method for multi-target domain fault diagnosis.
Neurocomputing, 2025
Expert Syst. Appl., 2025
2024
Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions.
IEEE Trans. Ind. Informatics, March, 2024
Spectral structure inducing efficient variational model for enhancing bearing fault feature.
Signal Process., March, 2024
Estimation of PM2.5 and PM10 Mass Concentrations in Beijing Using Gaofen-1 Data at 100 m Resolution.
Remote. Sens., February, 2024
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.
Inf. Fusion, January, 2024
Modified Feature Mode Decomposition Guided by Spectral Structure Information for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2024
Neural Networks, 2024
Knowl. Based Syst., 2024
Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model.
Expert Syst. Appl., 2024
Self-multivariate spectral decomposition and mode-fused envelope spectrum for enhancing bearing fault feature.
Digit. Signal Process., 2024
Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning.
Adv. Eng. Informatics, 2024
Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery.
Adv. Eng. Informatics, 2024
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis.
Adv. Eng. Informatics, 2024
2023
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
Feature Scalar Field Grid-Guided Optical-Flow Image Matching for Multi-View Images of Asteroid.
Remote. Sens., December, 2023
A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model.
Eng. Appl. Artif. Intell., November, 2023
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis.
Eng. Appl. Artif. Intell., November, 2023
Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning.
IEEE Trans. Ind. Informatics, August, 2023
Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions.
IEEE Trans. Ind. Informatics, July, 2023
Eng. Appl. Artif. Intell., May, 2023
Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2023
Evaluation of Atmospheric Pollution and Estimation of Remaining Atmospheric Environmental Capacity in Xuzhou City.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Estimation of Hourly PM2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Retrieval of Aerosol Single Scattering Albedo Over Land Using Geostationary Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Retrieval and validation of long-term aerosol optical depth from AVHRR data over China.
Int. J. Digit. Earth, December, 2022
IEEE Trans. Instrum. Meas., 2022
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
A Simple Band Ratio Library (BRL) Algorithm for Retrieval of Hourly Aerosol Optical Depth Using FY-4A AGRI Geostationary Satellite Data.
Remote. Sens., 2022
Knowl. Based Syst., 2022
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions.
Knowl. Based Syst., 2022
Optimal Assignment Strategy for Dynamic Workflow of Remote Sensing Big Data Processing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Estimation of PM2.5 and PM10 Mass Concentrations in Mining City Cluster from Gaofen-L Aerosol Optical Depth data and Chemical Transport Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
RESEARCH ON THE POTENTIAL EMISSION SOURCE AREAS OF THE PRIMARY AIR POLLUTANTS IN XUZHOU CITY.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Aerosol Single Scattering Albedo Estimated Across East Asia from Advanced Himawari Image Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
2021
Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data.
Remote. Sens., 2021
Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization.
Remote. Sens., 2021
A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism.
Knowl. Based Syst., 2021
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data.
Knowl. Based Syst., 2021
Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing.
Neurocomputing, 2021
An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition.
Neurocomputing, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Retrieval and Validation of Long-Term Aerosol Optical Depth from AVHRR Over China Mainland.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Retrieval of Aerosol Optical Depth Over Land Using Fy-4Aagri Geostationary Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Retrieval of High Resolution Aerosol Optical Depth by Synergetic Use of GF-1 WFV and Aqua Modis Data Over Land.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis.
Neurocomputing, 2020
A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples.
Neurocomputing, 2020
Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions.
Complex., 2020
An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis.
Complex., 2020
A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis.
IEEE Access, 2020
Secure 100 Gb/s IMDD Transmission Over 100 km SSMF Enabled by Quantum Noise Stream Cipher and Sparse RLS-Volterra Equalizer.
IEEE Access, 2020
An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis.
IEEE Access, 2020
A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition.
IEEE Access, 2020
An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions.
IEEE Access, 2020
Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions.
IEEE Access, 2020
2019
IEEE Trans. Instrum. Meas., 2019
Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines.
Neurocomputing, 2019
Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions.
IEEE Access, 2019
2018
Automatic instantaneous frequency order (IFO) extraction via integration strategy and multi-demodulation for bearing fault diagnosis under variable speed operation.
J. Intell. Fuzzy Syst., 2018
Proceedings of the 10th International Conference on Advanced Infocomm Technology, 2018
2017
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery.
IEEE Access, 2017
Reproducible broadband optical noise generation based on phase modulation to intensity modulation conversion and a nonlinear transformation.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017