Benben Jiang

发表

Fault detection of process correlation structure using canonical variate analysis-based correlation features

R. Braatz, Benben Jiang, 2017 .

Diagnosis of multiple and unknown faults using the causal map and multivariate statistics

Richard D. Braatz, Dexian Huang, Benben Jiang, 2015 .

Fault Detection in Industrial Systems Using Maximized Divergence Analysis Approach

Qiugang Lu, Benben Jiang, 2022, IEEE Access.

Nonlinear Identifiability Analysis of the Porous Electrode Theory Model of Lithium-Ion Batteries

R. Braatz, M. Bazant, Benben Jiang, 2021, Journal of The Electrochemical Society.

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis

Qunxiong Zhu, Zhifeng Guo, Benben Jiang, 2019, IEEE Transactions on Control Systems Technology.

Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path models.

Benben Jiang, Yi Luo, Benben Jiang, 2018, ISA transactions.

Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback–Leibler Divergence

Qiugang Lu, Benben Jiang, E. Harinath, 2021, IEEE Transactions on Control Systems Technology.

Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization with Recurrent Neural Network

Qiugang Lu, Benben Jiang, Yixing Wang, 2023, ArXiv.

Fast charging design for Lithium-ion batteries via Bayesian optimization

R. Braatz, M. Bazant, Benben Jiang, 2022, Applied Energy.

Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries

Xizhe Wang, Benben Jiang, Benben Jiang, 2022, IEEE Control Systems Letters.

State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression

Yiming Wan, Benben Jiang, Kesen Fan, 2022, Journal of Process Control.

Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols

William E. Gent, Peter M. Attia, Patrick K. Herring, 2021, Joule.

Maximized Mutual Information Analysis Based on Stochastic Representation for Process Monitoring

Yi Luo, Qiugang Lu, Benben Jiang, 2019, IEEE Transactions on Industrial Informatics.

Latent variable modeling approach for fault detection and identification of process correlations

Benben Jiang, Xiaoxiang Zhu, Benben Jiang, 2018, Trans. Inst. Meas. Control.

Canonical variate analysis-based monitoring of process correlation structure using causal feature representation

Dexian Huang, Richard D. Braatz, Benben Jiang, 2015 .

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis

Richard D. Braatz, Dexian Huang, Joel A. Paulson, 2015, Comput. Chem. Eng..

Canonical variate analysis-based contributions for fault identification

Dexian Huang, Fan Yang, Richard D. Braatz, 2015 .

Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation

Daniel A. Cogswell, M. Bazant, Benben Jiang, 2022, 2022 American Control Conference (ACC).

Sparse canonical variate analysis approach for process monitoring

Richard D. Braatz, Qiugang Lu, Benben Jiang, 2018, Journal of Process Control.

Locality preserving discriminative canonical variate analysis for fault diagnosis

Richard D. Braatz, Qiugang Lu, Benben Jiang, 2018, Comput. Chem. Eng..

Extended-AUDI method for simultaneous determination of causality and models from process data

Wei Wang, Dexian Huang, Fan Yang, 2013, 2013 American Control Conference.

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Fan Yang, Dexian Huang, Benben Jiang, 2013 .

Data-driven prediction of battery cycle life before capacity degradation

Kristen A. Severson, Peter M. Attia, Patrick K. Herring, 2019, Nature Energy.

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

Cheng Cheng, Ye Yuan, Benben Jiang, 2022, Energy & Environmental Science.

Predicting the Lifetime of Lithium-Ion Batteries: Integrated feature extraction and modeling through sequential Unsupervised-Supervised Projections (USP)

Benben Jiang, M. Reis, 2022, Chemical Engineering Science.

Simultaneous structure and parameter identification of multivariate systems by matrix decomposition

Fan Yang, Dexian Huang, Benben Jiang, 2016 .

Simultaneous Identification of Bidirectional Path Models Based on Process Data

Wei Wang, Dexian Huang, Fan Yang, 2015, IEEE Transactions on Automation Science and Engineering.

Novel Operating Modes for the Charging of Lithium-Ion Batteries

Daniel A. Cogswell, M. Bazant, Benben Jiang, 2022, Journal of The Electrochemical Society.

Perspective on Automation of Statistical Modeling Process for Battery Lifetime Prediction

Benben Jiang, Benben Jiang, 2019, 2019 Chinese Control Conference (CCC).

Hypothesis Testing for Unknown Dynamical Systems and System Anomaly Detection via Autoencoders

M. Ouyang, Benben Jiang, J. Zhang, 2022, 2201.12358.

Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path models.

Benben Jiang, Yi Luo, 2018, ISA transactions.

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis

Benben Jiang, J. Paulson, R. D. Braatz, 2015, Comput. Chem. Eng..

An extended AUDI algorithm for simultaneous identification of forward and backward paths in closed-loop systems

Yongheng Jiang, Dexian Huang, Benben Jiang, 2012 .