High-Accurate Robust Total Variation Denoising Algorithm With Adjustable Exponential Upper Bound Function for Micro-Thrust Measurement. - Zhikang Liu; Xingyu Chen; Jiawen Xu; Chengxin Zhang; Luxiang Xu; Ning Guo; Liye Zhao; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2023)

A Self-Supervised Contrastive Denoising Autoencoder-Based Noise Suppression Method for Micro Thrust Measurement Signals Processing. - Xingyu Chen; Liye Zhao; Jiawen Xu; Zhikang Liu; Chengxin Zhang; Luxiang Xu; Ning Guo (IEEE Trans. Instrum. Meas., 2024)

A High-Generalization Variational Denoising Autoencoder for Micronewton Thrust Signal Noise Removal and Step Reconstruction. - Xingyu Chen; Liye Zhao; Jiawen Xu; Zhikang Liu; Zhuoping Dai; Luxiang Xu; Ning Guo; Hong Zhang (IEEE Trans. Instrum. Meas., 2025)

Nanonewton-Level Thrust Measurement Based on Stiffness Adjustment Through Total Variation Denoising Under Heavy Loads. - Jiabin Wang; Jianfei Long; Jiawen Xu; Mingshan Wu; Linxiao Cong; Luxiang Xu; Yelong Zheng; Bin Wang; Ning Guo (IEEE Trans. Instrum. Meas., 2025)

Ultralow-Frequency Drifting Compensation for Microthrust Measurement Using Autoencoder Prediction-Based Auto-Zero Mechanism. - Jiawen Xu; Zhuoping Dai; Xingyu Chen; Hong Zhang; Jianfei Long; Luxiang Xu; Ning Guo; Liye Zhao; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2025)