Peiming Shi - RankMe

33 papers Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A generative dual-input model based on architectural computational optimization and multi-attention mechanism for remaining useful life prediction. Reliab. Eng. Syst. Saf. Peiming Shi, Tiejun Jia, Xuefang Xu, Dongying Han
2026	J	`jnl`	Debiased prototype network with relaxed contrastive distillation strategy for rotating machinery few-shot domain incremental fault diagnosis. Knowl. Based Syst. Yu Zhang, Dongying Han, Xuefang Xu, Peiming Shi
2025	J	`jnl`	A small-sample cross-domain bearing fault diagnosis method based on knowledge-enhanced domain adversarial learning. Neurocomputing Peiming Shi, Yan Zhao, Xuefang Xu, Dongying Han
2025	J	`jnl`	KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis. Knowl. Based Syst. Shuping Wu, Peiming Shi, Xuefang Xu, Xu Yang, Ruixiong Li, Zijian Qiao
2025	J	`jnl`	Simulated Data-Assisted Fault Diagnosis Framework With Dual-Path Feature Fusion for Rolling Element Bearings Under Incomplete Data. IEEE Trans. Instrum. Meas. Xuefang Xu, Xiaofeng Ou, Liang Ge, Zijian Qiao, Peiming Shi
2024	J	`jnl`	A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning. Reliab. Eng. Syst. Saf. Dongxiao Hou, Jiahui Chen, Rongcai Cheng, Xue Hu, Peiming Shi
2024	J	`jnl`	A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. Expert Syst. Appl. Xuefang Xu, Shuo Bao, Pengfei Liang, Zijian Qiao, Changbo He, Peiming Shi
2024	J	`jnl`	A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery. Adv. Eng. Informatics Xuefang Xu, Shuo Bao, Haidong Shao, Peiming Shi
2024	J	`jnl`	A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data. Neural Networks Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi
2024	J	`jnl`	Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines. IEEE Trans. Instrum. Meas. Xuefang Xu, Xu Yang, Changbo He, Peiming Shi, Changchun Hua
2024	J	`jnl`	Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction. Eng. Appl. Artif. Intell. Shiting Hu, Xuefang Xu, Mengdi Li, Peiming Shi, Ruixiong Li, Shuying Wang
2024	J	`jnl`	Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions. Knowl. Based Syst. Xuefang Xu, Xu Yang, Zijian Qiao, Pengfei Liang, Changbo He, Peiming Shi
2024	J	`jnl`	Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets. Appl. Soft Comput. Dongying Han, Yu Zhang, Yue Yu, Jinghui Tian, Peiming Shi
2024	J	`jnl`	Rolling mill fault diagnosis under limited datasets. Knowl. Based Syst. Junjie He, Peiming Shi, Xuefang Xu, Dongying Han
2024	J	`jnl`	Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis. Expert Syst. Appl. Yu Zhang, Dongying Han, Peiming Shi
2023	J	`jnl`	A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise. Sensors Shuai Zhao, Peiming Shi
2023	J	`jnl`	Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance. Biomed. Signal Process. Control. Peiming Shi, Jinxia Li, Wenyue Zhang, Mengdi Li, Dongying Han
2023	J	`jnl`	Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis. Neural Networks Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi
2023	J	`jnl`	Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. Yu Zhang, Dongying Han, Jinghui Tian, Peiming Shi
2023	J	`jnl`	Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis. Entropy Rongrong Peng, Xingzhong Zhang, Peiming Shi
2023	J	`jnl`	TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. Reliab. Eng. Syst. Saf. Peiming Shi, Shuping Wu, Xuefang Xu, Bofei Zhang, Pengfei Liang, Zijian Qiao
2022	J	`jnl`	A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis. Knowl. Based Syst. Jinghui Tian, Dongying Han, Mengdi Li, Peiming Shi
2022	J	`jnl`	Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples. Sensors Rongrong Peng, Xingzhong Zhang, Peiming Shi
2021	J	`jnl`	A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions. IEEE Access Peiming Shi, Peng Xue, Aoyun Liu, Dongying Han
2021	J	`jnl`	Discrimination Improvement Through Undesirable Feedback in Coupling Object Manipulation Tasks. Int. J. Neural Syst. Rongrong Fu, Mengmeng Han, Tiantian Bao, Fuwang Wang, Peiming Shi
2021	—	`conf`	Feature Extraction Method for Rolling Bear Fault Signal Based on time-Delayed Feedback Asymmetric tristable Stochastic Resonance. I2MTC Xiao Su, Peiming Shi, Qing Guo, Xingguo Zhang, Haixia Yu, Dachao Li
2021	J	`jnl`	Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis. J. Intell. Fuzzy Syst. Jinghui Tian, Dongying Han, Lifeng Xiao, Peiming Shi
2020	J	`jnl`	An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE. IEEE Access Dongying Han, Xiaoci Guo, Peiming Shi
2020	J	`jnl`	Automatic Detection of Epileptic Seizures in EEG Using Sparse CSP and Fisher Linear Discrimination Analysis Algorithm. J. Medical Syst. Rongrong Fu, Yongsheng Tian, Peiming Shi, Tiantian Bao
2020	J	`jnl`	Intentions Recognition of EEG Signals with High Arousal Degree for Complex Task. J. Medical Syst. Rongrong Fu, Mengmeng Han, Fuwang Wang, Peiming Shi
2019	J	`jnl`	Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis. J. Medical Syst. Rongrong Fu, Yongsheng Tian, Tiantian Bao, Zong Meng, Peiming Shi
2019	J	`jnl`	Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis. IEEE Access Wenyue Zhang, Peiming Shi, Mengdi Li, Yongxu Jiao, Dongying Han
2014	J	`jnl`	Nonlinear Torsional Vibration Dynamics Behaviors of Rolling Mill's Multi-DOF Main Drive System under Parametric Excitation. J. Appl. Math. Dongying Han, Peiming Shi, Kewei Xia