Reconstruction-based contribution for process monitoring

Carlos F. ALCALA; S. Joe QIN

doi:10.1016/j.automatica.2009.02.027

Reconstruction-based contribution for process monitoring

Carlos F. ALCALA, S. Joe QIN^*

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

535 Citations (Scopus)

Abstract

This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T² and a combined index φ. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes, whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. © 2009 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	1593-1600
Number of pages	8
Journal	Automatica
Volume	45
Issue number	7
Early online date	10 Apr 2009
DOIs	https://doi.org/10.1016/j.automatica.2009.02.027
Publication status	Published - Jul 2009
Externally published	Yes

Funding

Financial support for this project from the Roberto Rocca Education Program, National Science Foundation (DMI-0432433), members of the Texas–Wisconsin–California Control Consortium, and the Chang-Jiang Professor Foundation at the Ministry of Education of China is gratefully acknowledged.

Keywords

Contribution analysis
Diagnosability
Fault diagnosis
Process monitoring
Reconstruction

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10.1016/j.automatica.2009.02.027

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title = "Reconstruction-based contribution for process monitoring",

abstract = "This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T2 and a combined index φ. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes, whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. {\textcopyright} 2009 Elsevier Ltd. All rights reserved.",

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T1 - Reconstruction-based contribution for process monitoring

AU - ALCALA, Carlos F.

AU - QIN, S. Joe

PY - 2009/7

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N2 - This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T2 and a combined index φ. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes, whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. © 2009 Elsevier Ltd. All rights reserved.

AB - This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T2 and a combined index φ. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes, whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. © 2009 Elsevier Ltd. All rights reserved.

KW - Contribution analysis

KW - Diagnosability

KW - Fault diagnosis

KW - Process monitoring

KW - Reconstruction

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U2 - 10.1016/j.automatica.2009.02.027

DO - 10.1016/j.automatica.2009.02.027

M3 - Journal Article (refereed)

SN - 0005-1098

VL - 45

SP - 1593

EP - 1600

JO - Automatica

JF - Automatica

IS - 7

ER -

Reconstruction-based contribution for process monitoring

Abstract

Funding

Keywords

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