Chengyuan Sun

According to our database, Chengyuan Sun authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An adaptive subspace data-driven method for nonlinear dynamic systems.

Chengyuan Sun, Haobo Kang, Hong-Jun Ma, Hua Bai

J. Frankl. Inst., November, 2023

A Hierarchical Quality-Related Fault Diagnosis Method for Nonlinear Industrial Systems.

Chengyuan Sun, Guang-Hong Yang

IEEE Trans. Ind. Informatics, July, 2023

A Stacking Learning Data-Driven Method for Nonlinear KPI-Related Fault Detection.

Chengyuan Sun, Guang-Hong Yang

IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

2022

A Quality-Related Fault Detection Method Based on the Dynamic Data-Driven Algorithm for Industrial Systems.

Chengyuan Sun, Yizhen Yin, Haobo Kang, Hong-Jun Ma

IEEE Trans Autom. Sci. Eng., 2022

A distributed principal component regression method for quality-related fault detection and diagnosis.

Chengyuan Sun, Yizhen Yin, Haobo Kang, Hong-Jun Ma

Inf. Sci., 2022

An enhanced kernel learning data-driven method for multiple fault detection and identification in industrial systems.

Chengyuan Sun, Hong-Jun Ma

Inf. Sci., 2022

2018

Least Squares and Contribution Plot Based Approach for Quality-Related Process Monitoring.

Guang Wang, Jianduo Li, Chengyuan Sun, Jianfang Jiao

IEEE Access, 2018

2017

An Improved Principal Component Regression for Quality-Related Process Monitoring of Industrial Control Systems.

Chengyuan Sun, Jian Hou

IEEE Access, 2017