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ORCIDPeiming Shi
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- affiliation: Yanshan University, Qinhuangdao, Hebei, China
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Journal Articles
- 2024
[j25]Xuefang Xu
, Shuo Bao, Haidong Shao, Peiming Shi:
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery. Adv. Eng. Informatics 60: 102419 (2024)- [j24]Dongying Han, Yu Zhang, Yue Yu, Jinghui Tian, Peiming Shi:
Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets. Appl. Soft Comput. 154: 111371 (2024) - [j23]Shiting Hu, Xuefang Xu, Mengdi Li, Peiming Shi, Ruixiong Li, Shuying Wang:
Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction. Eng. Appl. Artif. Intell. 128: 107461 (2024) - [j22]Xuefang Xu, Shuo Bao, Pengfei Liang, Zijian Qiao, Changbo He, Peiming Shi:
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. Expert Syst. Appl. 246: 123124 (2024) - [j21]Yu Zhang, Dongying Han, Peiming Shi:
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis. Expert Syst. Appl. 255: 124660 (2024) - [j20]Junjie He, Peiming Shi, Xuefang Xu, Dongying Han:
Rolling mill fault diagnosis under limited datasets. Knowl. Based Syst. 291: 111579 (2024) - [j19]Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi:
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data. Neural Networks 173: 106167 (2024) - [j18]Dongxiao Hou, Jiahui Chen, Rongcai Cheng, Xue Hu, Peiming Shi:
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning. Reliab. Eng. Syst. Saf. 245: 110021 (2024) - 2023
- [j17]Peiming Shi, Jinxia Li, Wenyue Zhang, Mengdi Li, Dongying Han:
Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance. Biomed. Signal Process. Control. 84: 104817 (2023) - [j16]Rongrong Peng, Xingzhong Zhang, Peiming Shi:
Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis. Entropy 25(1): 83 (2023) - [j15]Yu Zhang, Dongying Han, Jinghui Tian, Peiming Shi:
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. 268: 110484 (2023) - [j14]Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi:
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis. Neural Networks 162: 69-82 (2023) - [j13]Peiming Shi, Shuping Wu, Xuefang Xu, Bofei Zhang, Pengfei Liang, Zijian Qiao:
TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. Reliab. Eng. Syst. Saf. 240: 109575 (2023) - [j12]Shuai Zhao, Peiming Shi:
A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise. Sensors 23(2): 1022 (2023) - 2022
- [j11]Jinghui Tian, Dongying Han, Mengdi Li, Peiming Shi:
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis. Knowl. Based Syst. 243: 108466 (2022) - [j10]Rongrong Peng, Xingzhong Zhang, Peiming Shi:
Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples. Sensors 22(20): 7815 (2022) - 2021
- [j9]Peiming Shi, Peng Xue, Aoyun Liu, Dongying Han:
A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions. IEEE Access 9: 44569-44579 (2021) - [j8]Rongrong Fu, Mengmeng Han, Tiantian Bao, Fuwang Wang, Peiming Shi:
Discrimination Improvement Through Undesirable Feedback in Coupling Object Manipulation Tasks. Int. J. Neural Syst. 31(5): 2150012:1-2150012:13 (2021) - [j7]Jinghui Tian, Dongying Han, Lifeng Xiao, Peiming Shi:
Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis. J. Intell. Fuzzy Syst. 41(1): 2225-2238 (2021) - 2020
- [j6]Dongying Han, Xiaoci Guo, Peiming Shi:
An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE. IEEE Access 8: 131299-131309 (2020) - [j5]Rongrong Fu, Yongsheng Tian, Peiming Shi, Tiantian Bao:
Automatic Detection of Epileptic Seizures in EEG Using Sparse CSP and Fisher Linear Discrimination Analysis Algorithm. J. Medical Syst. 44(2): 43 (2020) - [j4]Rongrong Fu, Mengmeng Han, Fuwang Wang, Peiming Shi:
Intentions Recognition of EEG Signals with High Arousal Degree for Complex Task. J. Medical Syst. 44(6): 110 (2020) - 2019
- [j3]Wenyue Zhang, Peiming Shi, Mengdi Li, Yongxu Jiao, Dongying Han:
Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis. IEEE Access 7: 173753-173765 (2019) - [j2]Rongrong Fu, Yongsheng Tian, Tiantian Bao, Zong Meng, Peiming Shi:
Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis. J. Medical Syst. 43(6): 169:1-169:13 (2019) - 2014
- [j1]Dongying Han, Peiming Shi, Kewei Xia:
Nonlinear Torsional Vibration Dynamics Behaviors of Rolling Mill's Multi-DOF Main Drive System under Parametric Excitation. J. Appl. Math. 2014: 202686:1-202686:7 (2014)
Conference and Workshop Papers
- 2021
- [c1]Xiao Su, Peiming Shi, Qing Guo, Xingguo Zhang, Haixia Yu, Dachao Li:
Feature Extraction Method for Rolling Bear Fault Signal Based on time-Delayed Feedback Asymmetric tristable Stochastic Resonance. I2MTC 2021: 1-6
Coauthor Index
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