New Dynamic Predictive Monitoring Schemes Based on Dynamic Latent Variable Models von Dong, Yining, Qin, S. Joe

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Multiway Gaussian Mixture Model Based Multiphase Batch Process Monitoring von Yu, Jie, Qin, S. Joe

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Analysis and generalization of fault diagnosis methods for process monitoring von Alcala, Carlos F., Joe Qin, S.

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Statistical process monitoring: basics and beyond von Joe Qin, S.

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Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares von Yingwei Zhang, Hong Zhou, Qin, S.J., Tianyou Chai

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Offline Predictive Control of Out-of-Plane Shape Deformation for Additive Manufacturing von Jin, Yuan, Joe Qin, S, Huang, Qiang

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Fault detection and diagnosis based on modified independent component analysis von Lee, Jong-Min, Qin, S. Joe, Lee, In-Beum

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Improved nonlinear fault detection technique and statistical analysis von Zhang, Yingwei, Qin, S. Joe

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Fault Detection of Nonlinear Processes Using Multiway Kernel Independent Component Analysis von Zhang, Yingwei, Qin, S. Joe

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Guest Editorial: Industrial Artificial Intelligence for Smart Manufacturing von Yang, Tao, Ding, Jinliang, Vamvoudakis, Kyriakos G., Qin, S. Joe

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A novel dynamic PCA algorithm for dynamic data modeling and process monitoring von Dong, Yining, Qin, S. Joe

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Output Relevant Fault Reconstruction and Fault Subspace Extraction in Total Projection to Latent Structures Models von Li, Gang, Joe Qin, S, Zhou, Donghua

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Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis von Lee, Jong-Min, Qin, S. Joe, Lee, In-Beum

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Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions von Liu, Ruonan, Wang, Fei, Yang, Boyuan, Qin, S. Joe

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Quality-relevant and process-relevant fault monitoring with concurrent projection to latent structures von Qin, S. Joe, Zheng, Yingying

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Latent vector autoregressive modeling and feature analysis of high dimensional and noisy data from dynamic systems von Qin, S. Joe

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A new fault diagnosis method using fault directions in Fisher discriminant analysis von He, Q. Peter, Qin, S. Joe, Wang, Jin

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Dynamic latent variable regression for inferential sensor modeling and monitoring von Zhu, Qinqin, Joe Qin, S., Dong, Yining

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Recursive PLS algorithms for adaptive data modeling von Joe Qin, S.

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Semi-Supervised Dynamic Latent Variable Regression for Prediction and Quality-Relevant Fault Monitoring von Liu, Qiang, Yang, Chao, Qin, S. Joe

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