Application of a Fault Detection and Isolation System on a Rotary Machine

The paper illustrates the design and the implementation of a Fault Detection and Isolation (FDI) system to a rotary machine like a multishaft centrifugal compressor. A model-free approach, that is, the Principal Component Analysis (PCA), has been employed to solve the fault detection issue. For the...

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Main Authors: Silvia M. Zanoli, Giacomo Astolfi
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Rotating Machinery
Online Access:http://dx.doi.org/10.1155/2013/189359
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author Silvia M. Zanoli
Giacomo Astolfi
author_facet Silvia M. Zanoli
Giacomo Astolfi
author_sort Silvia M. Zanoli
collection DOAJ
description The paper illustrates the design and the implementation of a Fault Detection and Isolation (FDI) system to a rotary machine like a multishaft centrifugal compressor. A model-free approach, that is, the Principal Component Analysis (PCA), has been employed to solve the fault detection issue. For the fault isolation purpose structured residuals have been adopted while an adaptive threshold has been designed in order to detect and to isolate the faults. To prove the goodness of the proposed FDI system, historical data of a nitrogen centrifugal compressor employed in a refinery plant are considered. Tests results show that detection and isolation of single as well as multiple faults are successfully achieved.
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institution Kabale University
issn 1023-621X
1542-3034
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publishDate 2013-01-01
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series International Journal of Rotating Machinery
spelling doaj-art-105d837097a1472a8f7071c67a47137b2025-02-03T05:58:09ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342013-01-01201310.1155/2013/189359189359Application of a Fault Detection and Isolation System on a Rotary MachineSilvia M. Zanoli0Giacomo Astolfi1D.I.I., Università Politecnica delle Marche, Ancona, ItalyD.I.I., Università Politecnica delle Marche, Ancona, ItalyThe paper illustrates the design and the implementation of a Fault Detection and Isolation (FDI) system to a rotary machine like a multishaft centrifugal compressor. A model-free approach, that is, the Principal Component Analysis (PCA), has been employed to solve the fault detection issue. For the fault isolation purpose structured residuals have been adopted while an adaptive threshold has been designed in order to detect and to isolate the faults. To prove the goodness of the proposed FDI system, historical data of a nitrogen centrifugal compressor employed in a refinery plant are considered. Tests results show that detection and isolation of single as well as multiple faults are successfully achieved.http://dx.doi.org/10.1155/2013/189359
spellingShingle Silvia M. Zanoli
Giacomo Astolfi
Application of a Fault Detection and Isolation System on a Rotary Machine
International Journal of Rotating Machinery
title Application of a Fault Detection and Isolation System on a Rotary Machine
title_full Application of a Fault Detection and Isolation System on a Rotary Machine
title_fullStr Application of a Fault Detection and Isolation System on a Rotary Machine
title_full_unstemmed Application of a Fault Detection and Isolation System on a Rotary Machine
title_short Application of a Fault Detection and Isolation System on a Rotary Machine
title_sort application of a fault detection and isolation system on a rotary machine
url http://dx.doi.org/10.1155/2013/189359
work_keys_str_mv AT silviamzanoli applicationofafaultdetectionandisolationsystemonarotarymachine
AT giacomoastolfi applicationofafaultdetectionandisolationsystemonarotarymachine