Ke Feng
Orcid: 0000-0003-2338-5161Affiliations:
- The University of British Columbia Okanagan, Kelowna, BC, Canada
According to our database1,
Ke Feng
authored at least 69 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
A New Intelligent Recognition Method for Surface Electromyography in IoT Systems Using OmniXceptionDBN.
IEEE Internet Things J., July, 2025
Enhanced Sparse LPV-ARMA Model With Ensemble Basis Functions for Mechatronic Transmission Fault Detection Under Variable Speed Conditions.
IEEE Internet Things J., June, 2025
Condition-Adaptive Permutation Entropy: A Novel Dynamic Complexity-Based Health Indicator for Bearing Health Monitoring.
IEEE Trans. Reliab., March, 2025
Composite Neuro-Fuzzy System-Guided Cross-Modal Zero-Sample Diagnostic Framework Using Multisource Heterogeneous Noncontact Sensing Data.
IEEE Trans. Fuzzy Syst., January, 2025
Multiperspective Temporal Pooling Convolutional Neural Networks for Fault Diagnosis of Mechanical Transmission Systems.
IEEE Trans. Instrum. Meas., 2025
Wavelet Scattering Transformer: A Robust Rail Corrugation Detection Method Under Varying Speed Condition Based on Multiscale Time-Frequency Feature Representation.
IEEE Trans. Instrum. Meas., 2025
CODN-GS: Coupled Optimization of Depth and Normal in 3D Gaussian Splatting for Scene Reconstruction.
IEEE Trans Autom. Sci. Eng., 2025
Diffusion model-assisted cross-domain fault diagnosis for rotating machinery under limited data.
Reliab. Eng. Syst. Saf., 2025
Dynamic modeling-assisted tensor regression transfer learning for online remaining useful life prediction under open environment.
Reliab. Eng. Syst. Saf., 2025
Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions.
Reliab. Eng. Syst. Saf., 2025
Joint reflection coefficient, time proportion and power allocation for multicarrier backscatter communications.
Phys. Commun., 2025
Machinery Multimodal Uncertainty-Aware RUL Prediction: A Stochastic Modeling Framework for Uncertainty Quantification and Informed Fusion.
IEEE Internet Things J., 2025
Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis.
Inf. Fusion, 2025
Label self-correction intelligent diagnosis method and embedded system for axle box bearings of high-speed trains with noisy labels.
Neurocomputing, 2025
Multi-channel and multi-scale weight adaptive neural network for intelligent rotating speed extraction.
Expert Syst. Appl., 2025
Remaining useful life prediction of equipment using a multiobjective optimization reinforced prognostic approach.
Comput. Ind. Eng., 2025
Anomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling.
Adv. Eng. Informatics, 2025
Domain weighted distribution adaptation network: a novel remaining useful life prediction framework for machinery targeting time-varying operation conditions.
Adv. Eng. Informatics, 2025
T2Net: An Attention-Enhanced Network for Trustworthy Thermal Imaging-Based Lubrication System Condition Assessment.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025
2024
A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems.
IEEE Internet Things J., July, 2024
Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis.
IEEE Internet Things J., July, 2024
A Visual and Textual Information Fusion-Based Zero-Shot Framework for Hazardous Material Placard Detection and Recognition.
IEEE Trans. Artif. Intell., April, 2024
Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels.
Inf. Fusion, April, 2024
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit.
Reliab. Eng. Syst. Saf., February, 2024
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines.
Reliab. Eng. Syst. Saf., February, 2024
Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis.
IEEE Trans. Ind. Informatics, January, 2024
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift.
Reliab. Eng. Syst. Saf., January, 2024
Zero-Phase Filter-Based Adaptive Fourier Decomposition and Its Application to Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2024
Theoretical Deliberation on the Precision Quantification of a Flexible Caliper Sensor for Oil and Gas Pipelines.
IEEE Trans. Instrum. Meas., 2024
Dual Structural Consistent Partial Domain Adaptation Network for Intelligent Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Imbalanced Learning for Gearbox Fault Detection via Attention-Based Multireceptive Field Convolutional Neural Networks With an Adaptive Label Regulation Loss.
IEEE Trans. Instrum. Meas., 2024
An Ensemble Domain Adaptation Network With High-Quality Pseudo Labels for Rolling Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data.
IEEE Trans. Instrum. Meas., 2024
SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning.
IEEE Trans. Instrum. Meas., 2024
Estimation and Utilization of the Geomagnetic Field Inhomogeneities Using the Relaxation Characteristics of the FID Signal in an Overhauser Magnetometer.
IEEE Trans. Instrum. Meas., 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion.
Inf. Fusion, 2024
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data.
Expert Syst. Appl., 2024
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions.
Eng. Appl. Artif. Intell., 2024
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis.
Eng. Appl. Artif. Intell., 2024
A new unsupervised health index estimation method for bearings early fault detection based on Gaussian mixture model.
Eng. Appl. Artif. Intell., 2024
Adv. Eng. Informatics, 2024
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain.
Adv. Eng. Informatics, 2024
2023
Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning.
Expert Syst. Appl., December, 2023
A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings.
Reliab. Eng. Syst. Saf., October, 2023
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions.
Reliab. Eng. Syst. Saf., September, 2023
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery.
Inf. Fusion, July, 2023
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing.
Reliab. Eng. Syst. Saf., June, 2023
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data.
Inf. Fusion, June, 2023
A Multidimensional Data Fusion Neural Network for Damage Localization Using Ultrasonic Guided Wave.
IEEE Trans. Instrum. Meas., 2023
Synchro-Reassigned Extracting Transform: An Effective Tool for Rotating Machinery Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2023
Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Generative Adversarial Network With Dual Multiscale Feature Fusion for Data Augmentation in Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Data Modeling Techniques for Pipeline Integrity Assessment: A State-of-the-Art Survey.
IEEE Trans. Instrum. Meas., 2023
Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2023
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking.
IEEE Trans. Instrum. Meas., 2023
Multioperator Morphological Undecimated Wavelet for Wheelset Bearing Compound Fault Detection.
IEEE Trans. Instrum. Meas., 2023
High-Precision Electrical Determination and Correction of Attitude Deviation for the Coil Vector Magnetometer.
IEEE Trans. Instrum. Meas., 2023
Intelligent Suppression of Non-Maneuvering Magnetic Interference of Aeromagnetic UAV.
IEEE Trans. Instrum. Meas., 2023
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy.
IEEE Trans. Instrum. Meas., 2023
Modified Varying Index Coefficient Autoregression Model for Representation of the Nonstationary Vibration From a Planetary Gearbox.
IEEE Trans. Instrum. Meas., 2023
Data-Driven Prognostic Scheme for Bearings Based on a Novel Health Indicator and Gated Recurrent Unit Network.
IEEE Trans. Ind. Informatics, 2023
Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions.
Reliab. Eng. Syst. Saf., 2023
Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings.
Inf. Fusion, 2023
A Synchronous Holo-Balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector.
Inf. Fusion, 2023
2022
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
2018
Fault Diagnosis of Rolling Bearing Under Speed Fluctuation Condition Based on Vold-Kalman Filter and RCMFE.
IEEE Access, 2018