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

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

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 methods are gradually being eliminated and rarely used. This research offers a probabilistic neural network (PNN) based...

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Bibliographic Details
Main Authors: Haoxiang Xu, Tongyao Ren, Zhuangda Mo, Xiaohui Yang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
fault diagnosis
probabilistic neural network
TE process
modified salp swarm algorithm
feature selection
SVM-RFE
Online Access:https://www.mdpi.com/2076-3417/12/17/8868

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