Yupeng Li

Ministry of Education of the People's Republic of China — China

Engineering · Physical Sciences

6h-index158citations17works1.02yr avg
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Research Topics

Fault Detection and Control Systems(10), Drilling and Well Engineering(9), Mineral Processing and Grinding(5), Risk and Safety Analysis(3), Anomaly Detection Techniques and Applications(3)

Publications17 total

Drill bit failure detection for drilling processes based on global–local feature extraction and multi-stage incremental learning
Journal of Process Control·2025
Multi-Source Well-Seismic Data Fusion-Based Porosity Prediction for Marine Exploration
2025
Condition Identification Method for Marine Resource Exploration Process Based on Multimodal Data Fusion
2025
Pipeline Anomaly Detection Based on KPCA and Cosine Distance Prototypical Network
2025
Anomaly detection for drilling tools based on operating mode recognition and interval-augmented Mahalanobis distance
Control Engineering Practice·2024· 5 cited
Trend Features Extraction of Apparent Resistivity in Tunnel Engineering
2023· 2 cited
A similarity analysis method for hybrid sequences of alarm events and trend events
2023
Drilling Process Monitoring Based on Operation Mode Recognition and Dynamic Feature Extraction
IEEE Transactions on Industrial Electronics·2023· 8 cited
Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes
Journal of Process Control·2023· 5 cited
Root Cause Identification of Industrial Alarm Floods Using Word Embedding and Few-Shot Learning
IEEE Transactions on Industrial Informatics·2023· 23 cited
False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis
Control Engineering Practice·2023· 24 cited
Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation
IFAC-PapersOnLine·2023· 3 citedOpen Access
Interpretable Soft Sensors using Extremely Randomized Trees and SHAP
IFAC-PapersOnLine·2023· 6 citedOpen Access
Incipient fault detection for geological drilling processes using multivariate generalized Gaussian distributions and Kullback–Leibler divergence
Control Engineering Practice·2021· 33 cited
Identification of downhole conditions in geological drilling processes based on quantitative trends and expert rules
Neural Computing and Applications·2021· 9 cited
Abnormality Detection for Drilling Processes Based on Jensen–Shannon Divergence and Adaptive Alarm Limits
IEEE Transactions on Industrial Informatics·2020· 38 cited
Downhole Condition Identification for Geological Drilling Processes Based on Qualitative Trend Analysis and Expert Rules
Communications in computer and information science·2020· 2 cited

Frequent Co-authors

Weihua Cao(13), Wenkai Hu(13), Min Wu(9), R. Bhushan Gopaluni(6), Chao Gan(5), Liang Cao(3), Yan Yuan(2), Ying Xiong(1), Guang Yang(1), X. B. Ji(1), Yankai Cao(1), Lim C. Siang(1), Jin Li(1), Vijay Kumar Pediredla(1), Bin Hu(1), Peng Zhang(1), Weihua Cao(1), Kai Zhou(1), Changjiang Wang(1), Yi Kang(1)