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Yuri A W Shardt

Showing results (1-10 of 8) with videos related to

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ISA Transactions|August 14, 2024
Supervised probabilistic dynamic-controlled latent-variable model for quality pattern prediction and optimisationNiannian Zheng, Yuri A W Shardt, Xiaoli Luan, et al.
ISA Transactions|June 5, 2024
A remaining useful life prediction algorithm incorporating real-time and integrated model for hidden actuator degradationXia Wu, Xu Yang, Jian Huang, et al.
ISA Transactions|November 30, 2016
Using the expected detection delay to assess the performance of different multivariate statistical process monitoring methods for multiplicative and drift faultsKai Zhang, Yuri A W Shardt, Zhiwen Chen, et al.
Sensors (Basel, Switzerland)|September 15, 2018
A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of DeterminationYue Zhang, Xu Yang, Yuri A W Shardt, et al.
ISA Transactions|May 18, 2026
Special issue on soft sensors for advanced process modelling, monitoring, control, and optimisationYuri A W Shardt, Xu Yang, Fan Yang, et al.
ISA Transactions|November 14, 2025
Soft sensor for nonuniform sampling nonlinear dynamic process using irregular-time-interval latent probabilistic predictability embedding supervised deep networkZhengxuan Zhang, Xu Yang, Yuri A W Shardt, et al.
ISA Transactions|February 14, 2017
A KPI-based process monitoring and fault detection framework for large-scale processesKai Zhang, Yuri A W Shardt, Zhiwen Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 18, 2022
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft SensorsChen Ou, Hongqiu Zhu, Yuri A W Shardt, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
ISA Transactions|August 14, 2024
Supervised probabilistic dynamic-controlled latent-variable model for quality pattern prediction and optimisationNiannian Zheng, Yuri A W Shardt, Xiaoli Luan, et al.
ISA Transactions|June 5, 2024
A remaining useful life prediction algorithm incorporating real-time and integrated model for hidden actuator degradationXia Wu, Xu Yang, Jian Huang, et al.
ISA Transactions|November 30, 2016
Using the expected detection delay to assess the performance of different multivariate statistical process monitoring methods for multiplicative and drift faultsKai Zhang, Yuri A W Shardt, Zhiwen Chen, et al.
Sensors (Basel, Switzerland)|September 15, 2018
A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of DeterminationYue Zhang, Xu Yang, Yuri A W Shardt, et al.
ISA Transactions|May 18, 2026
Special issue on soft sensors for advanced process modelling, monitoring, control, and optimisationYuri A W Shardt, Xu Yang, Fan Yang, et al.
ISA Transactions|November 14, 2025
Soft sensor for nonuniform sampling nonlinear dynamic process using irregular-time-interval latent probabilistic predictability embedding supervised deep networkZhengxuan Zhang, Xu Yang, Yuri A W Shardt, et al.
ISA Transactions|February 14, 2017
A KPI-based process monitoring and fault detection framework for large-scale processesKai Zhang, Yuri A W Shardt, Zhiwen Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 18, 2022
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft SensorsChen Ou, Hongqiu Zhu, Yuri A W Shardt, et al.
Pageof 1