Exploration and Effect Analysis of Improvement in Convolution Neural Network for Bearing Fault Diagnosis. - Diwang Ruan; Feifan Zhang; Clemens Gühmann (ICPHM, 2021)

Bearing Fault Classification Based on Pole-Zero Distribution of Transfer Function. - Zhaorong Li; Gregor Kornhardt; Diwang Ruan (SAFEPROCESS, 2023)

CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis. - Diwang Ruan; Jin Wang; Jianping Yan; Clemens Gühmann (Adv. Eng. Informatics, 2023)

Fuzzy-Membership-Based Framework for Task Transfer Learning Between Fault Diagnosis and RUL Prediction. - Diwang Ruan; Yuheng Wu; Jianping Yan; Clemens Gühmann (IEEE Trans. Reliab., 2023)

Improvement by Monte Carlo for Trajectory Similarity-Based RUL Prediction. - Diwang Ruan; Lin Ma; Yiying Yang; Jianping Yan; Clemens Gühmann (IEEE Trans. Instrum. Meas., 2024)

Mutually Complementary: Physics-informed GAN based on Simulated Model for Fault Diagnosis. - Zhaorong Li; Diwang Ruan; Xuran Chen; Yiliang Qian; Jianping Yan; Clemens Gühmann (ICPHM, 2025)

Deep stacked state-observer based neural network (DSSO-NN): A new network for system dynamics modeling and application in bearing. - Diwang Ruan; Yan Wang; Yiliang Qian; Jianping Yan; Zhaorong Li (Adv. Eng. Informatics, 2025)