Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes-Reference-Cited by-同舟云学术

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Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes

Published:2022-04 Issue: Volume:160 Page:327-340
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Deng Zhenyu,Han Te,Cheng Zhonghai,Jiang Jiajia,Duan Fajie

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference52 articles.

1. Dynamic failure analysis of process systems using neural networks;Adedigba;Process Saf. Environ. Prot.,2017

2. Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula;Amin;Process Saf. Environ. Prot.,2021

3. A bibliometric review of process safety and risk analysis;Amin;Process Saf. Environ. Prot.,2019

4. A data-driven Bayesian network learning method for process fault diagnosis;Amin;Process Saf. Environ. Prot.,2021

5. A study of the behavior of several methods for balancing machine learning training data;Batista;ACM SIGKDD Explor. Newsl.,2004

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