Feature extraction of machinery diagnosis using neural network. - Yimin Shao; Kikuo Nezu; Kexing Chen; Xiaoping Pu (ICNN, 1995)

Engine fault detection using angle domain signal envelope algorithm. - Yimin Shao; Yan Ding; Chris K. Mechefske (J. Syst. Control. Eng., 2013)

Planetary gear fault diagnosis based on instantaneous angular speed analysis. - Qiang Zeng; Zainab Mones; Yimin Shao; Fengshou Gu; Andrew D. Ball (ICAC, 2017)

Vibration characteristics of a roller bearing with the waviness error. - Hao Wu; Jing Liu 046; Yimin Shao (SICE, 2019)

Key Engineering Characteristics Extraction Technology Based on QFD. - Wei Zhang 124; Genbao Zhang; Yulong Li; Yimin Shao; Yan Ran (IEEE Access, 2019)

Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis. - Xiaoxi Ding; Qingbo He; Yimin Shao; Wenbin Huang 002 (IEEE Trans. Instrum. Meas., 2019)

Planetary Gear Fault Diagnosis Based on An Instantaneous Angular Speed Measurement System With a Dual Detector Setup. - Qiang Zeng; Guojin Feng; Yimin Shao; Fengshou Gu; Andrew D. Ball (IEEE Access, 2020)

Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions. - Luke Zhang; Yi Li; Lincheng Dong; Xiaoqing Yang; Xiaoxi Ding; Qiang Zeng; Liming Wang; Yimin Shao (IEEE Access, 2021)

Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction. - Quanchang Li; Xiaoxi Ding; Qingbo He; Wenbin Huang 002; Yimin Shao (IEEE Trans. Ind. Informatics, 2021)

A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions. - Xiaoxi Ding; Lun Lin; Dong He; Liming Wang; Wen-bing Huang 001; Yimin Shao (IEEE Trans. Instrum. Meas., 2021)

An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN. - Yinjun Wang; Liling Zeng; Liming Wang; Yimin Shao; Yongxiang Zhang 005; Xiaoxi Ding (IEEE Trans. Instrum. Meas., 2021)

An Augmented Lever Analogy Method for Kinematic Analysis of Dual-Input Planetary/Epicyclic Gear Sets Involving Planet Gear. - Xiaodong Yang; Wennian Yu; Yimin Shao; Zhiliang Xu; Qiang Zeng; Chunhui Nie; Dingqiang Peng (IEEE Access, 2022)

Optimization of the number of paddy field blades by modeling the mass and power consumption of dynamic splashes. - Jinbo Ren; Weitao Du; Dingqiang Peng; Desheng Zou; Yimin Shao; Chris K. Mechefske (Comput. Electron. Agric., 2022)

Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network. - Luke Zhang; Jia Liu; Shu Su; Tong Lu; Chunrong Xue; Yinjun Wang; Xiaoxi Ding; Yimin Shao (J. Sensors, 2022)

Dynamic characteristic of spur gear system with spalling fault considering tooth pitch error. - Lantao Yang; Qiuyuan Chen; Lei Yin; Liming Wang; Yimin Shao (Qual. Reliab. Eng. Int., 2022)

An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation. - Wennian Yu; Yimin Shao; Jin Xu; Chris K. Mechefske (Reliab. Eng. Syst. Saf., 2022)

ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions. - Yinjun Wang; Xiaoxi Ding; Rui Liu 036; Yimin Shao (IEEE Trans. Ind. Informatics, 2022)

New Data Augmentation-Driven RUL Prognosis Approach for Cumulative Damage Model Using Incomplete Observations. - Yizhen Peng; Yu Wang 043; Yimin Shao (IEEE Trans. Instrum. Meas., 2022)

A Method for Predicting the Boring Topography Error of Shaft Hole on a Thin-Walled Box Based on a Proposed Dynamic Model. - Dingqiang Peng; Lantao Yang; Yimin Shao (IEEE Access, 2023)

Slow-Varying Dynamics-Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation. - Yan Qin; Chau Yuen; Yimin Shao; Bo Qin; Xiaoli Li 001 (IEEE Trans. Cybern., 2023)

Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application. - Rui Liu 036; Xiaoxi Ding; Shenglan Liu 003; Qihang Wu; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis. - Jian Tang; Qihang Wu; Xiaobo Li; Chao Wei; Xiaoxi Ding; Wenbing Huang 001; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint. - Qihang Wu; Xiaoxi Ding; Linhua Zhao; Rui Liu 036; Qingbo He; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis. - Minmin Xu; Yaoyao Han; Xiaoxi Ding; Haidong Shao; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data. - Zixu Chen; Wennian Yu; Liming Wang; Xiaoxi Ding; Wenbin Huang 002; Yimin Shao (Knowl. Based Syst., 2023)

A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery. - Bing Wang; Liming Wang; Bo Zou; Huifang Xiao; Xiaoxi Ding; Yimin Shao (Swarm Evol. Comput., 2023)

Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions. - Rui Liu 036; Xiaoxi Ding; Yimin Shao (Adv. Eng. Informatics, 2024)

An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering. - Rui Liu 036; Xiaoxi Ding; Yimin Shao; Wenbin Huang 002 (Adv. Eng. Informatics, 2024)

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis. - Rui Liu 036; Xiaoxi Ding; Qihang Wu; Qingbo He; Yimin Shao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples. - Rui Liu 036; Xiaoxi Ding; Shenglan Liu 003; Hebin Zheng; Yuanyaun Xu; Yimin Shao (Reliab. Eng. Syst. Saf., 2025)