Huiming Jiang
Orcid: 0000-0003-1633-0429
According to our database1,
Huiming Jiang authored at least 20 papers
between 2019 and 2026.
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Bibliography
2026
Incentive Mechanism for Crowdsensing With User Autonomous Decision-Making Based on Prospect Theory and Ordered Submodularity.
IEEE Trans. Mob. Comput., May, 2026
2025
Dynamic Multi-Scale Hypergraph Wavelet Neural Network for Mechanical Fault Diagnosis of Consumer Technology.
IEEE Trans. Consumer Electron., November, 2025
A Novel Dynamic Health Index Based on Core Graph Model of Multichannel Signals for Machine Health Monitoring.
IEEE Trans. Instrum. Meas., 2025
Endogenous Noise-Expanded Multivariate Empirical Mode Decomposition and Its Application to Mechanical Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Interpretable adaptive multiwavelet kernel-driven two-dimensional convolutional neural network for mechanical fault diagnosis.
Eng. Appl. Artif. Intell., 2025
Low-Rank and Sparsity Co-Induced Tensor Singular Space Decomposition Model for Variable-Speed Rolling Bearings Fault Feature Extraction.
Proceedings of the 2025 11th International Symposium on System Security, 2025
2024
Adaptive Low-Rank Tensor Estimation Model Based Multichannel Weak Fault Detection for Bearings.
Sensors, June, 2024
IEEE Trans. Instrum. Meas., 2024
2023
Tensor Denoising Assisted Time-Reassigned Synchrosqueezing Wavelet Transform for Gear Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Predicting seasonal patterns of energy production: A grey seasonal trend least squares support vector machine.
Expert Syst. Appl., 2023
2022
Formal Language Generation for Fault Diagnosis With Spectral Logic via Adversarial Training.
IEEE Trans. Ind. Informatics, 2022
LW-Net: an interpretable network with smart lifting wavelet kernel for mechanical feature extraction and fault diagnosis.
Neural Comput. Appl., 2022
An Improved Convolutional Neural Network Model by Multiwavelets for Rolling Bearing Fault Diagnosis.
Proceedings of the Neural Computing for Advanced Applications, 2022
Proceedings of the Neural Computing for Advanced Applications, 2022
2021
IEEE Trans. Instrum. Meas., 2021
Neurocomputing, 2021
SGWnet: An Interpretable Convolutional Neural Network for Mechanical Fault Intelligent Diagnosis.
Proceedings of the Neural Computing for Advanced Applications, 2021
A New Health Indicator Construction Approach and Its Application in Remaining Useful Life Prediction of Bearings.
Proceedings of the Neural Computing for Advanced Applications, 2021
2020
A Robust Performance Degradation Modeling Approach Based on Student's t-HMM and Nuisance Attribute Projection.
IEEE Access, 2020
2019
Dual-Mode Noise-Reconstructed EMD for Weak Feature Extraction and Fault Diagnosis of Rotating Machinery.
IEEE Access, 2019