Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels-Reference-Cited by-同舟云学术

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Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels

Published:2016-11 Issue: Volume:63 Page:35-48
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Askarian Mahdieh^ORCID,Benítez Raúl,Graells Moisès^ORCID,Zarghami Reza

Funder

Spanish Ministry of Economy and Competitivity

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Fault diagnosis of chemical processes with incomplete observations: A comparative study;Askarian;Computers & Chemical Engineering,2015

2. Risk‐based fault diagnosis and safety management for process systems;Bao;Process Safety Progress,2011

3. Label-noise robust logistic regression and its applications;Bootkrajang,2012

4. Identifying mislabeled training data;Brodley;Journal of Artificial Intelligence Research,1999

5. Fault detection and diagnosis in industrial system;Chiang,2001

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