H. Shi

发表

Multimode processes monitoring based on hierarchical mode division and subspace decomposition

Shuai Li, Xiaofeng Zhou, H. Shi, 2018 .

Monitoring of Multimode Processes Based on Subspace Decomposition

Shuai Li, Xiaofeng Zhou, H. Shi, 2015 .

A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season

Zeyu Zheng, H. Shi, Yang Fu, 2016, PloS one.

Three-stage vertical distribution of seawater conductivity

Kaizhou Liu, Zeyu Zheng, Haibo Shi, 2018, Scientific Reports.

Comparison of two fractal interpolation methods

Zeyu Zheng, H. Shi, Yang Fu, 2017 .

Fault Detection Based on Hierarchical Mode Analysis with ICA-KICA

Shuai Li, Xiaofeng Zhou, H. Shi, 2022, 2022 41st Chinese Control Conference (CCC).

Corrosion pitting damage detection of rolling bearings using data mining techniques

Haibo Shi, Xiaofeng Zhou, Zeyu Zheng, 2015, Int. J. Model. Identif. Control..

Vibration analysis approach for corrosion pitting detection based on SVDD and PCA

Xiaofeng Zhou, Zeyu Zheng, Haibo Shi, 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

Early detection of liver disease using data visualisation and classification method

Haibo Shi, Xiaofeng Zhou, Zeyu Zheng, 2014, Biomed. Signal Process. Control..

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Shuai Li, Xiaofeng Zhou, H. Shi, 2022, Ocean Engineering.

Three-stage vertical distribution of seawater conductivity

Kaizhou Liu, Zeyu Zheng, H. Shi, 2018, Scientific Reports.

An efficient clustering method for medical data applications

Xiaofeng Zhou, Shuai Li, Zeyu Zheng, 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

A fault detection method for AUV based on multi-scale spatiotemporal feature fusion

Shuai Li, Xiaofeng Zhou, H. Shi, 2023, Fifth International Conference on Computer Information Science and Artificial Intelligence.

Fault detection based on global-local PCA-SVDD for multimode processes

Xiaofeng Zhou, Haibo Shi, Zhongwei Wang, 2017, 2017 9th International Conference on Modelling, Identification and Control (ICMIC).

Multimode Processes Monitoring Using Global–Local MIC-PCA-SVDD

Shuai Li, Xiaofeng Zhou, Haibo Shi, 2018 .

Comprehensive monitoring of industrial processes using multivariable characteristics evaluation and subspace decomposition

Xiaofeng Zhou, Yichi Zhang, Fucheng Pan, 2021, The Canadian Journal of Chemical Engineering.

Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process

Shuai Li, Xiaofeng Zhou, H. Shi, 2020, 2020 Chinese Automation Congress (CAC).

Monitoring and fault diagnosis for industrial process

Xiaofeng Zhou, Shuai Li, Zeyu Zheng, 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

Hybrid feature adaptive fusion network for multivariate time series classification with application in AUV fault detection

Shuai Li, Xiaofeng Zhou, H. Shi, 2023, Ships and Offshore Structures.

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle

Xiaofeng Zhou, Shuai Li, Haibo Shi, 2021 .

Soft Sensor Model for Billet Temperature in Multiple Heating Furnaces Based on Transfer Learning

Shuai Li, Xiaofeng Zhou, H. Shi, 2023, IEEE Transactions on Instrumentation and Measurement.

Haibo Shi, Xiaofeng Zhou, Shuai Li, 2017, Comput. Ind. Eng..

Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring

Xiaofeng Zhou, Fucheng Pan, Haibo Shi, 2021 .

Time Series Prediction Method of Industrial Process With Limited Data Based on Transfer Learning

Shuai Li, Xiaofeng Zhou, H. Shi, 2023, IEEE Transactions on Industrial Informatics.

Statistical regularities of Carbon emission trading market: Evidence from European Union allowances

Xiaofeng Zhou, Zeyu Zheng, Haibo Shi, 2015 .

A multi-fuel management model for a community-level district heating system under multiple uncertainties

Guohe Huang, Zeyu Zheng, Rui Xiao, 2017 .

Early detection of liver disease using data visualisation and classification method

Xiaofeng Zhou, H. Shi, Zeyu Zheng, 2014, Biomed. Signal Process. Control..