贺凯迅｜山东科技大学｜学者主页

2026

Data-Driven Soft Sensor Modeling via BLS-Based Algorithm Recommendation

Kaixun He, Huadong Yuan, Yiting Song, Zi Wang, Yaning Zhai, Pengfei Cao

Conference on Fully Actuated System Theory and Applications (FASTA)

DOI

2026

A deep KM-GRU learning approach to time series prediction for non-linear dynamic industry process with outlier and time delay

Kaixun He, Xiaolong Chen, Hongyu Guo, Maiying Zhong, Han Jiang, Xin Peng

Journal of Process Control

DOI

2025

基于多尺度特征融合的图卷积神经网络迁移学习故障诊断方法

曲晓荷，雷志伟，李达，丁潇，贺凯迅，钟凯

《山东科技大学学报(自然科学版)》

DOI

2025

Guided Explicit Mechanism Property Generation Using WGAN and Integrated Regression Model for Insufficient Gasoline NIR Data Augmentation

Jingran Luan, Kaixun He, Weimin Zhong, Xin Peng, Jingyi Lu, Qiang Wang

IEEE Transactions on Industrial Informatics

DOI

2025

Detection of Abnormal Operating Conditions of Draught Fan Equipment Based on Boruta and WD-S

Kaixun He, Yongqiang Li, Dong Li, Lili Tao, Zihao Li, Qingdian Sun

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2025

Wavelength selection methods for NIR calibration in petrochemicals: Status, characteristics, and scenarios analysis

Jingran Luan, Weimin Zhong, Jingyi Lu, Dan Yang, Yuqiang Li, Kaixun He, Xin Peng

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy

DOI

2025

An Improved Random Forest Model for Online Prediction of Nitrogen Oxide Emissions and Its Industrial Application

Kaixun He, Haixiao Ding

Journal of energy resources technology.

DOI

2024

Prediction of NOx Concentration in Coal-Fired Power Plants Based on TCN-LSTM

Zhen Dong, Kaixun He, Hanlong Liu

Asian Conference on Artificial Intelligence Technology (ACAIT)

DOI

2024

Active Fault Diagnosis Method Based on Deep Forest and Its Industrial Application

Dong Li, Kaixun He, Lili Tao, Hanlong Liu

Asian Conference on Artificial Intelligence Technology (ACAIT)

DOI

2024

Prediction of NOx emission concentration for coal-fired power plant based on informer network and its industrial application

Hanlong Liu, Kaixun He, Xin Peng, Lili Tao

DOI

2024

Prediction of NOx Emissions in Thermal Power Plants Using a Dynamic Soft Sensor Based on Random Forest and Just-in-Time Learning Methods

Kaixun He, Haixiao Ding

Sensors

DOI

2023

An improved random forest with variable selection for NOx emission prediction and its application

Kaixun He, Haixiao Ding, Ningfan Zhong, Tao Sui

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2023

Online Coal Identification Based on One-Dimensional Convolution and Its Industrial Applications

Shaochen Ma, Kaixun He, Xin Peng

Applied Sciences

DOI

2022

融合互信息与慢特性的火电机组异常监控

王小邦，贺凯迅，苏照阳

《控制工程》

2022

基于有偏估计的近红外定量分析方法及应用

刘晶晶，贺凯迅

《控制工程》

2022

改进的证据K近邻异常工况检测及应用

贺凯迅，王涛，苏照阳

《控制工程》

2022

Fault Diagnosis for Large-Scale Processes Based on Robust Multiblock Global Orthogonal Projections to Latent Structures

Rongrong Sun, Youqing Wang, Zonglei Mou, Kaixun He

IEEE Transactions on Automation Science and Engineering

DOI

2021

Progress, problems, and potential of technology for measuring solution concentration in crystallization processes

Fangkun Zhang, Kang Du, Luyu Guo, Yan Huo, Kaixun He, Baoming Shan

Measurement

DOI

2021

Novel adaptive sample space expansion approach of NIR model for in-situ measurement of gasoline octane number in online gasoline blending processes

Kai Wang, Kaixun He, Wenli Du, Jian Long

Chemical Engineering Science

DOI

2021

Anomaly Detection and Early Warning Via a Novel Multiblock-Based Method with Applications to Thermal Power Plants

Kaixun He, Tao Wang, Fangkun Zhang, Xin Jin

Measurement

DOI

2020

有偏最小最大概率模型及在汽油属性预测中的应用

贺凯迅，刘晶晶，王小邦，苏照阳

《控制理论与应用》

2020

An adaptive CEEMD-ANN algorithm and its application in pneumatic conveying flow pattern identification

Jiming Li, Kaixun He, Mingyue Tan, Xuezhen Cheng

Flow Measurement and Instrumentation

DOI

2020

Near-infrared spectroscopy for the concurrent quality prediction and status monitoring of gasoline blending

Kaixun He, Maiying Zhong, Li Zhi, Jingjing Liu

Control Engineering Practice

DOI

2019

基于随机化分析的等价空间故障检测方法

李志明，钟麦英，贺凯迅

《山东科技大学学报(自然科学版)》

DOI

2019

Active training sample selection and updating strategy for near-infrared model with an industrial application

Kaixun He, Kai Wang, Yayun Yan

Chinese Journal of Chemical Engineering

DOI

2019

Weighted incremental minimax probability machine-based method for quality prediction in gasoline blending process

Kaixun He, Maiying Zhong, Wenli Du

Chemometrics and Intelligent Laboratory Systems

DOI

2019

Biased Minimax Probability Machine-Based Adaptive Regression for Online Analysis of Gasoline Property

Kaixun He, Maiying Zhong, Jingzhong Fang, Yiran Li

IEEE Transactions on Industrial Informatics

DOI

2019

Moving Window Abnormal Condition Monitoring Strategy Based on Supervised Sample Selection and Its Industrial Application

Kaixun He, Zhaoyang Su

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2018

基于智能优化算法的软测量模型建模样本优选及应用

贺凯迅，曹鹏飞

《化工进展》

2014

基于神经网络的近红外光谱辛烷值模型的研究及应用

栾郭宏，贺凯迅，程辉，钱锋

《计算机与应用化学》

2014

基于辛烷值调合效应模型的在线更新方法及其应用

苗健，罗建平，张卫东，贺凯迅，程辉，钱锋

《华东理工大学学报(自然科学版)》

2014

A New Sample-Selection and Modeling Method Based on Near-Infrared Spectroscopy and Its Industrial Application

贺凯迅，程辉，钱锋

Journal of Donghua University(English Edition)

贺凯迅

精选作品

期刊论文

Data-Driven Soft Sensor Modeling via BLS-Based Algorithm Recommendation

A deep KM-GRU learning approach to time series prediction for non-linear dynamic industry process with outlier and time delay

基于多尺度特征融合的图卷积神经网络迁移学习故障诊断方法

Guided Explicit Mechanism Property Generation Using WGAN and Integrated Regression Model for Insufficient Gasoline NIR Data Augmentation

Detection of Abnormal Operating Conditions of Draught Fan Equipment Based on Boruta and WD-S

Wavelength selection methods for NIR calibration in petrochemicals: Status, characteristics, and scenarios analysis

An Improved Random Forest Model for Online Prediction of Nitrogen Oxide Emissions and Its Industrial Application

Prediction of NOx Concentration in Coal-Fired Power Plants Based on TCN-LSTM

Active Fault Diagnosis Method Based on Deep Forest and Its Industrial Application

Prediction of NOx emission concentration for coal-fired power plant based on informer network and its industrial application

Prediction of NOx Emissions in Thermal Power Plants Using a Dynamic Soft Sensor Based on Random Forest and Just-in-Time Learning Methods

An improved random forest with variable selection for NOx emission prediction and its application

Online Coal Identification Based on One-Dimensional Convolution and Its Industrial Applications

融合互信息与慢特性的火电机组异常监控

基于有偏估计的近红外定量分析方法及应用

改进的证据K近邻异常工况检测及应用

Fault Diagnosis for Large-Scale Processes Based on Robust Multiblock Global Orthogonal Projections to Latent Structures

Progress, problems, and potential of technology for measuring solution concentration in crystallization processes

Novel adaptive sample space expansion approach of NIR model for in-situ measurement of gasoline octane number in online gasoline blending processes

Anomaly Detection and Early Warning Via a Novel Multiblock-Based Method with Applications to Thermal Power Plants

有偏最小最大概率模型及在汽油属性预测中的应用

An adaptive CEEMD-ANN algorithm and its application in pneumatic conveying flow pattern identification

Near-infrared spectroscopy for the concurrent quality prediction and status monitoring of gasoline blending

基于随机化分析的等价空间故障检测方法

Active training sample selection and updating strategy for near-infrared model with an industrial application

Weighted incremental minimax probability machine-based method for quality prediction in gasoline blending process

Biased Minimax Probability Machine-Based Adaptive Regression for Online Analysis of Gasoline Property

Moving Window Abnormal Condition Monitoring Strategy Based on Supervised Sample Selection and Its Industrial Application

基于智能优化算法的软测量模型建模样本优选及应用

基于神经网络的近红外光谱辛烷值模型的研究及应用

基于辛烷值调合效应模型的在线更新方法及其应用

A New Sample-Selection and Modeling Method Based on Near-Infrared Spectroscopy and Its Industrial Application

会议论文

基于有偏最小最大概率机的汽油属性在线分析

研究方向