Title：Lecturer

E-mail：jianhuang@ustb.edu.cn

Office：1121A

Education：

2013.9-2018.6  PhD, Each China University of Science and Technology, Control Science and Technology,

2009.9-2013.6  B.S., Each China University of Science and Technology, Automation

Work Experience：

2018.7-present, School of Automation and Electrical Engineering, University of Science and Technology Beijing

Research Interests：

process monitoring, fault diagnosis

Courses：

Selected Publications：

[1]Huang J., Ersoy O. K. and Yan X. F. Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description[J]. ISA Transactions.2019,85:119-128.

[2]Huang J., Ersoy O. K. and Yan X. F. Slow feature analysis based on online feature reordering and feature selection for dynamic chemical process monitoring[J].Chemometrics and Intelligent Laboratory Systems.2017,169:1-11.

[3]Huang J. and Yan X. F. Angle-Based Multiblock Independent Component Analysis Method with a New Block Dissimilarity Statistic for Non-Gaussian Process Monitoring[J].Industrial & Engineering Chemistry Research. 2016,55(17): 4997-5005.

[4]Huang J. and Yan X. F. Related and independent variable fault detection based on KPCA and SVDD[J].Journal of Process Control.2016,39:88-99.

[5]Huang J. and Yan X. F. Gaussian and non-Gaussian Double Subspace Statistical Process Monitoring Based on Principal Component Analysis and Independent Component Analysis[J].Industrial & Engineering Chemistry Research.2015, 54(3):1015-1027.

[6]Huang J. and Yan X. F. Double-step block division plant-wide fault detection and diagnosis based on variable distributions and relevant features[J].Journal of Chemometrics.2015,29(11):587-605.

[7]Huang J. and Yan X. F. Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference[J].Chemometrics and Intelligent Laboratory Systems.2015,148:115-127.

Representative Projects：

Honors & Awards：