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Incorporating interdependence in risk likelihood analysis to enhance diagnostics in condition monitoring

Wiliem, Leonard (2008) Incorporating interdependence in risk likelihood analysis to enhance diagnostics in condition monitoring. PhD thesis, Queensland University of Technology.

Abstract

This research is aimed at addressing problems in the field of asset management relating to risk analysis and decision making based on data from a Supervisory Control and Data Acquisition (SCADA) system. It is apparent that determining risk likelihood in risk analysis is difficult, especially when historical information is unreliable. This relates to a problem in SCADA data analysis because of nested data. A further problem is in providing beneficial information from a SCADA system to a managerial level information system (e.g. Enterprise Resource Planning/ERP). A Hierarchical Model is developed to address the problems. The model is composed of three different Analyses: Hierarchical Analysis, Failure Mode and Effect Analysis, and Interdependence Analysis. The significant contributions from the model include: (a) a new risk analysis model, namely an Interdependence Risk Analysis Model which does not rely on the existence of historical information because it utilises Interdependence Relationships to determine the risk likelihood, (b) improvement of the SCADA data analysis problem by addressing the nested data problem through the Hierarchical Analysis, and (c) presentation of a framework to provide beneficial information from SCADA systems to ERP systems. The case study of a Water Treatment Plant is utilised for model validation.

Impact and interest:

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ID Code: 28559
Item Type: QUT Thesis (PhD)
Supervisor: Yarlagadda, Prasad, Hargreaves, Douglas, & Stapelberg, Rudolph
Keywords: hierarchical analysis, failure mode and effect analysis, risk analysis, SCADA, ERP, interdependence analysis
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Institution: Queensland University of Technology
Deposited On: 11 Nov 2009 09:53
Last Modified: 29 Oct 2011 05:53

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