An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability-case study

Offshore industry

V. Ebrahimipour, Kazuhiko Suzuki, A. Azadeh

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability-safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.

Original languageEnglish
Pages (from-to)542-552
Number of pages11
JournalJournal of Loss Prevention in the Process Industries
Volume19
Issue number6
DOIs
Publication statusPublished - Nov 2006

Fingerprint

pumps
Industry
Pumps
case studies
industry
Equipment and Supplies
Ferrets
Safety
Hazards
principal component analysis
petrochemicals
Petrochemical plants
Closed loop control systems
safety assessment
ferrets
Dependability
Integrated
Fault detection
Fault

Keywords

  • Dependability
  • Importance analysis
  • Maintainability
  • Online fault detection
  • Principle component analysis
  • Reliability

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Process Chemistry and Technology
  • Safety, Risk, Reliability and Quality

Cite this

@article{f29ec09194bb424a8b8d9183274e1bfb,
title = "An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability-case study: Offshore industry",
abstract = "Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability-safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.",
keywords = "Dependability, Importance analysis, Maintainability, Online fault detection, Principle component analysis, Reliability",
author = "V. Ebrahimipour and Kazuhiko Suzuki and A. Azadeh",
year = "2006",
month = "11",
doi = "10.1016/j.jlp.2005.12.007",
language = "English",
volume = "19",
pages = "542--552",
journal = "Journal of Loss Prevention in the Process Industries",
issn = "0950-4230",
publisher = "Elsevier BV",
number = "6",

}

TY - JOUR

T1 - An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability-case study

T2 - Offshore industry

AU - Ebrahimipour, V.

AU - Suzuki, Kazuhiko

AU - Azadeh, A.

PY - 2006/11

Y1 - 2006/11

N2 - Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability-safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.

AB - Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability-safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.

KW - Dependability

KW - Importance analysis

KW - Maintainability

KW - Online fault detection

KW - Principle component analysis

KW - Reliability

UR - http://www.scopus.com/inward/record.url?scp=33749579245&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749579245&partnerID=8YFLogxK

U2 - 10.1016/j.jlp.2005.12.007

DO - 10.1016/j.jlp.2005.12.007

M3 - Article

VL - 19

SP - 542

EP - 552

JO - Journal of Loss Prevention in the Process Industries

JF - Journal of Loss Prevention in the Process Industries

SN - 0950-4230

IS - 6

ER -