Lijia Luo

发表

Experimental study on creep-fatigue behaviors of chinese P92 steel with consideration of several important factors

Jianfeng Mao, Zhenyu Ding, Fengping Zhong, 2021 .

Tensor Global-Local Preserving Projections for Batch Process Monitoring

Zengliang Gao, Shiyi Bao, Lijia Luo, 2014 .

Batch Process Monitoring with Tensor Global−Local Structure Analysis

Jingqi Yuan, L. Luo, S. Bao, 2013 .

CFD simulations to portray the bubble distribution and the hydrodynamics in an annulus sparged air‐lift bioreactor

Lijia Luo, Jingqi Yuan, Jingqi Yuan, 2011 .

Investigation of shedding patterns and its influences on lift performances of a cylinder bundle in cross flow

L. Luo, S. Bao, Di Tang, 2019, Journal of Mechanical Science and Technology.

Investigation of shedding patterns and its influences on lift performances of a cylinder bundle in cross flow

Di Tang, Min Xu, Binbin Lv, 2019, Journal of Mechanical Science and Technology.

On the number of tubes required to study oscillating vortices and frequency spectrums of tube arrays in cross flow

L. Luo, S. Bao, Di Tang, 2019, Annals of Nuclear Energy.

High temperature strength and multiaxial fatigue life assessment of a tubesheet structure

Jianfeng Mao, Di Tang, Zengliang Gao, 2016 .

Investigation on the RPV structural behaviors caused by various cooling water levels under severe accident

Jianfeng Mao, Zengliang Gao, Shiyi Bao, 2017 .

An Improved Iterative FIR State Estimator and Its Applications

Yuriy S. Shmaliy, Choon Ki Ahn, Shunyi Zhao, 2020, IEEE Transactions on Industrial Informatics.

Hydrodynamics and mass transfer characteristics in an internal loop airlift reactor with sieve plates

Junwei Sun, Lijia Luo, Jingqi Yuan, 2013 .

Hydrodynamics and mass transfer characteristics in an internal loop airlift reactor with different spargers

Lijia Luo, Jingqi Yuan, Fengna Liu, 2011 .

Fuzzy Phase Partition and Hybrid Modeling Based Quality Prediction and Process Monitoring Methods for Multiphase Batch Processes

L. Luo, S. Bao, Jianfeng Mao, 2016 .

Dynamic statistical process monitoring based on generalized canonical variate analysis

Chudong Tong, L. Luo, Xuhua Shi, 2020 .

Sparse PARAFAC2 decomposition: Application to fault detection and diagnosis in batch processes

Chudong Tong, Lijia Luo, Shiyi Bao, 2019 .

Quality prediction based on HOPLS-CP for batch processes

L. Luo, S. Bao, Zengliang Gao, 2015 .

Nonlinear process monitoring based on decentralized generalized regression neural networks

Chudong Tong, Lijia Luo, Xuhua Shi, 2020, Expert Syst. Appl..

Dynamic process monitoring based on orthogonal dynamic inner neighborhood preserving embedding model

Chudong Tong, Xiaoxia Chen, Lijia Luo, 2019, Chemometrics and Intelligent Laboratory Systems.

Nonlinear process monitoring based on kernel global–local preserving projections

Jianfeng Mao, Di Tang, Jianfeng Mao, 2016 .

A derivative-free algorithm for nonlinear equations and its applications in multibody dynamics

Di Tang, Jianfeng Mao, Shiyi Bao, 2018 .

Study on the aeroelastic responses of a wind turbine using a coupled multibody-FVW method

Jianfeng Mao, Di Tang, Binbin Lv, 2017 .

Study of pressure fluctuations in an internal loop airlift bioreactor

Jingqi Yuan, L. Luo, Junwei Sun, 2013 .

Hilbert–Huang transform, Hurst and chaotic analysis based flow regime identification methods for an airlift reactor

Junwei Sun, Lijia Luo, Jingqi Yuan, 2012 .

Sparse Robust Principal Component Analysis with Applications to Fault Detection and Diagnosis

Chudong Tong, Shiyi Bao, Lijia Luo, 2019, Industrial & Engineering Chemistry Research.

Identification of flow regime transitions in an annulus sparged internal loop airlift reactor based on higher order statistics and Winger trispectrum

Lijia Luo, Jingqi Yuan, Jingqi Yuan, 2011 .

Nonlinear Process Monitoring Using Data-Dependent Kernel Global–Local Preserving Projections

L. Luo, S. Bao, Jianfeng Mao, 2015 .

Quality prediction and quality-relevant monitoring with multilinear PLS for batch processes

L. Luo, S. Bao, Jianfeng Mao, 2016 .

Trajectory‐based phase partition and multiphase multilinear models for monitoring and quality prediction of multiphase batch processes

Lijia Luo, Lijia Luo, 2018 .

Process Monitoring with Global–Local Preserving Projections

L. Luo, Lijia Luo, 2014 .

Robust monitoring of industrial processes using process data with outliers and missing values

Xin Peng, Shiyi Bao, Lijia Luo, 2019, Chemometrics and Intelligent Laboratory Systems.

Fault Detection and Diagnosis Based on Sparse PCA and Two-Level Contribution Plots

Di Tang, Jianfeng Mao, Shiyi Bao, 2017 .

Abnormal event monitoring of underground pipelines using a distributed fiber-optic vibration sensing system

Weida Wang, Huanwei Yu, Shiyi Bao, 2023, Measurement.

Improved fault detection and diagnosis using sparse global-local preserving projections

Di Tang, Jianfeng Mao, Shiyi Bao, 2016 .

Phase Partition and Phase-Based Process Monitoring Methods for Multiphase Batch Processes with Uneven Durations

L. Luo, S. Bao, Jianfeng Mao, 2016 .

Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers

Shiyi Bao, Lijia Luo, Weida Wang, 2024, Expert Syst. Appl..

Nonlocal and local structure preserving projection and its application to fault detection

Jianfeng Mao, Shiyi Bao, Lijia Luo, 2016 .

Monitoring Uneven Multistage/Multiphase Batch Processes using Trajectory‐Based Fuzzy Phase Partition and Hybrid MPCA Models

L. Luo, Lijia Luo, 2019 .

Batch Process Monitoring with GTucker2 Model

Zengliang Gao, Shiyi Bao, Lijia Luo, 2014 .