[HTML][HTML] A fault diagnosis model for tennessee eastman processes based on feature selection and probabilistic neural network

H Xu, T Ren, Z Mo, X Yang - Applied Sciences, 2022 - mdpi.com
Since the classification methods mentioned in previous studies are currently unable to meet
the accuracy requirements for fault diagnosis in large-scale chemical industries, these …

A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network

H Xu, T Ren, Z Mo, X Yang - Applied Sciences, 2022 - search.proquest.com
Since the classification methods mentioned in previous studies are currently unable to meet
the accuracy requirements for fault diagnosis in large-scale chemical industries, these …

[引用][C] A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network

H Xu, T Ren, Z Mo, X Yang - Applied Sciences (Web), 2022 - jglobal.jst.go.jp
A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection
and Probabilistic Neural Network | Article Information | J-GLOBAL Art J-GLOBAL ID:202302222537875004 …

A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network.

H Xu, T Ren, Z Mo, X Yang - Applied Sciences (2076-3417), 2022 - search.ebscohost.com
Since the classification methods mentioned in previous studies are currently unable to meet
the accuracy requirements for fault diagnosis in large-scale chemical industries, these …

A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network

H Xu, T Ren, Z Mo, X Yang - 2022 - agris.fao.org
Since the classification methods mentioned in previous studies are currently unable to meet
the accuracy requirements for fault diagnosis in large-scale chemical industries, these …

A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network

H Xu, T Ren, Z Mo, X Yang - agris.fao.org
Since the classification methods mentioned in previous studies are currently unable to meet
the accuracy requirements for fault diagnosis in large-scale chemical industries, these …