Investigating the Construction, Training, and Verification Methods of k-Means Clustering Fault Recognition Model for Rotating Machinery. - Qingfeng Wang 003; Jiahe Liu; Bingkun Wei; Wenwu Chen; Shujian Xu (IEEE Access, 2020)

Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application. - Qingfeng Wang 003; Bingkun Wei; Jiahe Liu; Wensheng Ma (IEEE Access, 2020)

Online Incipient Fault Detection Method Based on Improved ℓ1 Trend Filtering and Support Vector Data Description. - Qingfeng Wang 003; Xiaojin Liu 006; Bingkun Wei; Wenwu Chen (IEEE Access, 2021)

Weighted K-NN Classification Method of Bearings Fault Diagnosis With Multi-Dimensional Sensitive Features. - Qingfeng Wang 003; Shuai Wang; Bingkun Wei; Wenwu Chen; Yufei Zhang (IEEE Access, 2021)

A Method for Constructing Automatic Rolling Bearing Fault Identification Model Based on Refined Composite Multi-Scale Dispersion Entropy. - Qingfeng Wang 003; Yang Xiao; Shuai Wang; Wencai Liu; Xiaojin Liu 006 (IEEE Access, 2021)

Research on a Multisource Domain Improved Fault Diagnosis Method of the Rotor System. - Yang Xiao; Qingfeng Wang 003; Shuai Wang; Wenwu Chen (IEEE Access, 2022)

Remaining Useful Life Prediction for Rolling Bearings With a Novel Entropy-Based Health Indicator and Improved Particle Filter Algorithm. - Tianyu Zhang; Qingfeng Wang 003; Yue Shu; Wang Xiao; Wensheng Ma (IEEE Access, 2023)

Research on an Improved Wasserstein Generative Adversarial Network Early Fault Warning Method for Rotating Machinery. - Chunlei Zhou; Wang Xiao; Qingfeng Wang 003; Zhipeng Feng (IEEE Access, 2024)