Fault detection in an overheads condenser using multivariate SPC

D. J.H. Wilson; G. W. Irwin; G. Lightbody

Fault detection in an overheads condenser using multivariate SPC

D. J.H. Wilson
, G. W. Irwin
, G. Lightbody

Queen's University Belfast

Research output: Contribution to journal › Article › peer-review

Abstract

A statistical model is generated via partial least squares (PLS), a multivariate statistical modeling technique, to detect a fault occurring in an overheads condenser. Standard statistical process control (SPC) techniques are used to detect simulated faults by analysis of the mismatch between the PLS model prediction and the original plant. The results show that the fault would remain undetected throughout the test if these standard SPC techniques were used alone.

Original language	English
Pages (from-to)	7/1-7/6
Journal	IEE Colloquium (Digest)
Issue number	260
Publication status	Published - 1 Jan 1996
Externally published	Yes
Event	Proceedings of the 1997 IEE Colloquium on Modelling and Signal Processing for Fault Diagnosis - London, UK Duration: 18 Sep 1996 → 18 Sep 1996

Cite this

@article{4ea93cdc91394a3283be7f52d442b044,

title = "Fault detection in an overheads condenser using multivariate SPC",

abstract = "A statistical model is generated via partial least squares (PLS), a multivariate statistical modeling technique, to detect a fault occurring in an overheads condenser. Standard statistical process control (SPC) techniques are used to detect simulated faults by analysis of the mismatch between the PLS model prediction and the original plant. The results show that the fault would remain undetected throughout the test if these standard SPC techniques were used alone.",

author = "Wilson, \{D. J.H.\} and Irwin, \{G. W.\} and G. Lightbody",

year = "1996",

month = jan,

day = "1",

language = "English",

pages = "7/1--7/6",

journal = "IEE Colloquium (Digest)",

issn = "0963-3308",

publisher = "Institute of Electrical Engineers",

number = "260",

note = "Proceedings of the 1997 IEE Colloquium on Modelling and Signal Processing for Fault Diagnosis ; Conference date: 18-09-1996 Through 18-09-1996",

}

TY - JOUR

T1 - Fault detection in an overheads condenser using multivariate SPC

AU - Wilson, D. J.H.

AU - Irwin, G. W.

AU - Lightbody, G.

PY - 1996/1/1

Y1 - 1996/1/1

N2 - A statistical model is generated via partial least squares (PLS), a multivariate statistical modeling technique, to detect a fault occurring in an overheads condenser. Standard statistical process control (SPC) techniques are used to detect simulated faults by analysis of the mismatch between the PLS model prediction and the original plant. The results show that the fault would remain undetected throughout the test if these standard SPC techniques were used alone.

AB - A statistical model is generated via partial least squares (PLS), a multivariate statistical modeling technique, to detect a fault occurring in an overheads condenser. Standard statistical process control (SPC) techniques are used to detect simulated faults by analysis of the mismatch between the PLS model prediction and the original plant. The results show that the fault would remain undetected throughout the test if these standard SPC techniques were used alone.

UR - https://www.scopus.com/pages/publications/0030223860

M3 - Article

AN - SCOPUS:0030223860

SN - 0963-3308

SP - 7/1-7/6

JO - IEE Colloquium (Digest)

JF - IEE Colloquium (Digest)

IS - 260

T2 - Proceedings of the 1997 IEE Colloquium on Modelling and Signal Processing for Fault Diagnosis

Y2 - 18 September 1996 through 18 September 1996

ER -

Fault detection in an overheads condenser using multivariate SPC

Abstract

Other files and links

Fingerprint

Cite this