Yan-Lin He

发表

Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure

Jun Wang, Yan-Lin He, Qunxiong Zhu, 2020 .

An ontology‐based procedure knowledge framework for the process industry

Yan-Lin He, Qunxiong Zhu, Jian Cao, 2020 .

An effective high-quality prediction intervals construction method based on parallel bootstrapped RVM for complex chemical processes

Yan-Lin He, Yuan Xu, Chuan Mi, 2017 .

A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2018, Energy.

Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications

Yan-Lin He, Qunxiong Zhu, Xiao-Han Zhang, 2020 .

A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2019, IEEE Transactions on Control Systems Technology.

Soft sensor development using PLSR based multi-kernel ELM

Yan-Lin He, Zhiqiang Geng, Yuan Xu, 2019, 2019 12th Asian Control Conference (ASCC).

An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes

Yan-Lin He, Qunxiong Zhu, Wang Xiao, 2018 .

Mining Top-K of Stream Frequent Patterns

Yan-Lin He, EL-Mehdi Ali, QunXiong Zhu, 2018 .

A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018 .

A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process

Yan-Lin He, Qunxiong Zhu, Yanqing Wang, 2019, IFAC-PapersOnLine.

Novel manifold learning based virtual sample generation for optimizing soft sensor with small data.

Yan-Lin He, Yuan Xu, Xiao-Han Zhang, 2020, ISA transactions.

A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018, Energy.

Energy modeling using an effective latent variable based functional link learning machine

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018 .

Energy Efficiency Analysis Using a Novel VSG Based DEA: A Case Study of Ethylene Production Plants

Yan-Lin He, Yuan Xu, Qun-Xiong Zhu, 2018, 2018 Chinese Automation Congress (CAC).

Maximal structure generation of superstructure for semantic triple generated by DEVS ontology in the process industry

Yan-Lin He, Qunxiong Zhu, Jian Cao, 2020 .

Mining Top-K Click Stream Sequences Patterns

Yan-Lin He, Qun-Xiong Zhu, Mehdi Haj Ali, 2016 .

Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM

Yan-Lin He, Yuan Xu, Qun-Xiong Zhu, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

A novel ensemble model using PLSR integrated with multiple activation functions based ELM: Applications to soft sensor development

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2018, Chemometrics and Intelligent Laboratory Systems.

Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine

Yi Luo, Yan-Lin He, Tong Zou, 2019, 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC).

Research and application of KICA-AROMF based fault diagnosis

Yan-Lin He, Yuan Xu, Qun-Xiong Zhu, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

A novel robust regression model based on functional link least square (FLLS) and its application to modeling complex chemical processes

Yan-Lin He, Qunxiong Zhu, Qunxiong Zhu, 2016 .

A bootstrap based virtual sample generation method for improving the accuracy of modeling complex chemical processes using small datasets

Yan-Lin He, Yuan Xu, Qun-Xiong Zhu, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2019 .

An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2017 .

Soft-sensing model development using PLSR-based dynamic extreme learning machine with an enhanced hidden layer

Yan-Lin He, Qunxiong Zhu, Yuan Xu, 2016 .

Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry

Yan-Lin He, Qunxiong Zhu, Chen Zhang, 2018 .

Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis

Yan-Lin He, Yi Luo, Qunxiong Zhu, 2019, Industrial & Engineering Chemistry Research.

A Novel Contribution Graph Based Likert Scale Method and Its Application to Real-Time Alarm Evaluation

Yan-Lin He, Qunxiong Zhu, Rui Ding, 2019 .

A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement.

Yan-Lin He, Yuan Xu, Zhi-Qiang Geng, 2015, ISA transactions.

Soft sensor of chemical processes with large numbers of input parameters using auto-associative hierarchical neural network

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2015 .

Data driven soft sensor development for complex chemical processes using extreme learning machine

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2015 .

Novel Multimodule Bayesian Network with Cyclic Structures for Root Cause Analysis: Application to Complex Chemical Processes

Yan-Lin He, Qunxiong Zhu, Wen-Jing Ding, 2020 .

RETRACTED: A novel nonlinear VSG integrating ELM with noise injection for enhancing energy modelling and analysis on small data

Yan-Lin He, Qunxiong Zhu, Yanqing Wang, 2019 .

Soft sensor development for the key variables of complex chemical processes using a novel robust bagging nonlinear model integrating improved extreme learning machine with partial least square

Yan-Lin He, Qunxiong Zhu, Zhiqiang Geng, 2016 .

Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes

Yuan Xu, Yan-Lin He, Qunxiong Zhu, 2020 .

A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries

Yan-Lin He, Qunxiong Zhu, Zhong-Sheng Chen, 2017 .

Pattern Mining of Alarm Flood Sequences Using an Improved PrefixSpan Algorithm with Tolerance to Short-Term Order Ambiguity

Yuan Xu, Yan-Lin He, Qun-Xiong Zhu, 2021 .

Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor

Yuan Xu, Yan-Lin He, Qun-Xiong Zhu, 2021, Chemometrics and Intelligent Laboratory Systems.

Novel virtual sample generation using conditional GAN for developing soft sensor with small data

Yuan Xu, Yan-Lin He, Qunxiong Zhu, 2021, Eng. Appl. Artif. Intell..

Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor

Yuan Xu, Yan-Lin He, Qun-Xiong Zhu, 2021, IEEE Transactions on Instrumentation and Measurement.

Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis

Yan-Lin He, Qunxiong Zhu, Qian-Qian Meng, 2017 .

A novel nonlinear functional expansion based PLS (FEPLS) and its soft sensor application

Yan-Lin He, Zhong-Sheng Chen, Bao Zhu, 2017 .

Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes

Yan-Lin He, Qunxiong Zhu, Ping-Jiang Wang, 2017 .