Nonlinear Torsional Vibration Dynamics Behaviors of Rolling Mill's Multi-DOF Main Drive System under Parametric Excitation. - Dongying Han; Peiming Shi; Kewei Xia (J. Appl. Math., 2014)

Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis. - Wenyue Zhang; Peiming Shi; Mengdi Li; Yongxu Jiao; Dongying Han (IEEE Access, 2019)

An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE. - Dongying Han; Xiaoci Guo; Peiming Shi (IEEE Access, 2020)

Scaling Analysis of Phase Fluctuations of Brain Networks in Dynamic Constrained Object Manipulation. - Rongrong Fu; Han Wang; Mengmeng Han; Dongying Han; Jiedi Sun (Int. J. Neural Syst., 2020)

A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions. - Peiming Shi; Peng Xue; Aoyun Liu; Dongying Han (IEEE Access, 2021)

Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis. - Jinghui Tian; Dongying Han; Lifeng Xiao; Peiming Shi (J. Intell. Fuzzy Syst., 2021)

A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis. - Jinghui Tian; Dongying Han; Mengdi Li; Peiming Shi (Knowl. Based Syst., 2022)

Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis. - Yu Zhang; Dongying Han; Jinghui Tian; Peiming Shi (Knowl. Based Syst., 2023)

Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis. - Jinghui Tian; Dongying Han; Hamid Reza Karimi; Yu Zhang; Peiming Shi (Neural Networks, 2023)

Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance. - Peiming Shi; Jinxia Li; Wenyue Zhang; Mengdi Li; Dongying Han (Biomed. Signal Process. Control., 2023)

Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets. - Dongying Han; Yu Zhang; Yue Yu; Jinghui Tian; Peiming Shi (Appl. Soft Comput., 2024)

Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis. - Yu Zhang; Dongying Han; Peiming Shi (Expert Syst. Appl., 2024)

Rolling mill fault diagnosis under limited datasets. - Junjie He; Peiming Shi; Xuefang Xu; Dongying Han (Knowl. Based Syst., 2024)

A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data. - Jinghui Tian; Dongying Han; Hamid Reza Karimi; Yu Zhang; Peiming Shi (Neural Networks, 2024)