ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION

ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION

The development of an algorithm based on singular value decomposition with graphic visualization to aid in the fault detection and diagnosis was the aim of this work. In order to test the algorithm, real temperature data from an industrial furnace of a natural gas processing unit were used. Nine tem...

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Main Authors: Amanda Vilela Fonseca, Reinaldo Francisco Teófilo, Vinícius Barroso Soares, Deusanilde de Jesus Silva
Format: Article
Language:English
Published: Universidade Federal de Viçosa (UFV) 2017-09-01
Series:The Journal of Engineering and Exact Sciences
Subjects:
Detector Failures
Fault Detection and Diagnosis
Principal Component Analysis
Singular Value Decomposition
Online Access:https://periodicos.ufv.br/ojs/jcec/article/view/2346
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spelling doaj-997d25750c104b5e80fcd038d4eaabb52020-11-24T22:01:04ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752017-09-01370920093210.18540/jcecvl3iss7pp0920-0932956ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATIONAmanda Vilela Fonseca0Reinaldo Francisco Teófilo1Vinícius Barroso Soares2Deusanilde de Jesus Silva3Universidade Federal de ViçosaUniversidade Federal de ViçosaUniversidade Federal do Espírito SantoUniversidade Federal de ViçosaThe development of an algorithm based on singular value decomposition with graphic visualization to aid in the fault detection and diagnosis was the aim of this work. In order to test the algorithm, real temperature data from an industrial furnace of a natural gas processing unit were used. Nine temperature detectors were monitored over time. In addition to a real fault that caused the shutdown of the equipment, five simulated faults in the furnace detectors were also tested. Results showed that the algorithm was effective and has great potential to assist in the monitoring of industrial processes.https://periodicos.ufv.br/ojs/jcec/article/view/2346Detector FailuresFault Detection and DiagnosisPrincipal Component AnalysisSingular Value Decomposition
collection DOAJ
language English
format Article
sources DOAJ
author Amanda Vilela Fonseca
Reinaldo Francisco Teófilo
Vinícius Barroso Soares
Deusanilde de Jesus Silva
spellingShingle Amanda Vilela Fonseca
Reinaldo Francisco Teófilo
Vinícius Barroso Soares
Deusanilde de Jesus Silva
ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION
The Journal of Engineering and Exact Sciences
Detector Failures
Fault Detection and Diagnosis
Principal Component Analysis
Singular Value Decomposition
author_facet Amanda Vilela Fonseca
Reinaldo Francisco Teófilo
Vinícius Barroso Soares
Deusanilde de Jesus Silva
author_sort Amanda Vilela Fonseca
title ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION
title_short ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION
title_full ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION
title_fullStr ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION
title_full_unstemmed ALGORITHM FOR DETECTION AND DIAGNOSIS OF INDUSTRIAL FURNACE FAULTS APPLYING SINGULAR VALUE DECOMPOSITION AND GRAPHIC VISUALIZATION
title_sort algorithm for detection and diagnosis of industrial furnace faults applying singular value decomposition and graphic visualization
publisher Universidade Federal de Viçosa (UFV)
series The Journal of Engineering and Exact Sciences
issn 2527-1075
publishDate 2017-09-01
description The development of an algorithm based on singular value decomposition with graphic visualization to aid in the fault detection and diagnosis was the aim of this work. In order to test the algorithm, real temperature data from an industrial furnace of a natural gas processing unit were used. Nine temperature detectors were monitored over time. In addition to a real fault that caused the shutdown of the equipment, five simulated faults in the furnace detectors were also tested. Results showed that the algorithm was effective and has great potential to assist in the monitoring of industrial processes.
topic Detector Failures
Fault Detection and Diagnosis
Principal Component Analysis
Singular Value Decomposition
url https://periodicos.ufv.br/ojs/jcec/article/view/2346
work_keys_str_mv AT amandavilelafonseca algorithmfordetectionanddiagnosisofindustrialfurnacefaultsapplyingsingularvaluedecompositionandgraphicvisualization
AT reinaldofranciscoteofilo algorithmfordetectionanddiagnosisofindustrialfurnacefaultsapplyingsingularvaluedecompositionandgraphicvisualization
AT viniciusbarrososoares algorithmfordetectionanddiagnosisofindustrialfurnacefaultsapplyingsingularvaluedecompositionandgraphicvisualization
AT deusanildedejesussilva algorithmfordetectionanddiagnosisofindustrialfurnacefaultsapplyingsingularvaluedecompositionandgraphicvisualization
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