Fault diagnosis of an industrial plant using a Monte Carlo analysis coupled with systematic troubleshooting-Reference-Cited by-同舟云学术

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Fault diagnosis of an industrial plant using a Monte Carlo analysis coupled with systematic troubleshooting

Published:2017-08 Issue: Volume:78 Page:247-255
ISSN:0956-7135
Container-title:Food Control
language:en
Short-container-title:Food Control

Author:

Boiarkina Irina^ORCID,Depree Nick,Yu Wei,Wilson David I.^ORCID,Young Brent R.

Funder

New Zealand Ministry of Primary Industries

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference29 articles.

1. Manufacturing process problem analysis using Monte Carlo simulation;Accumolli;Quality and Reliability Engineering International,1996

2. Bio-p release in the final clarifiers of a large WWTP with co-precipitation: Key factors and troubleshooting;Bertanza;Chemical Engineering Journal,2013

3. Uncertainty analysis of penicillin V production using Monte Carlo simulation;Biwer;Biotechnology and Bioengineering,2005

4. Fault detection and diagnosis in industrial systems;Chiang,2001

5. Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee Eastman process;Eslamloueyan;Applied Soft Computing,2011

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1. Using Big Data in Industrial Milk Powder Process Systems;13th International Symposium on Process Systems Engineering (PSE 2018);2018

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