Wiliem, Leonard (2008) Incorporating interdependence in risk likelihood analysis to enhance diagnostics in condition monitoring. PhD thesis, Queensland University of Technology, Australia.
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.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Yarlagadda, Prasad; Hargreaves, Douglas and Stapelberg, Rudolph |
| Uncontrolled Keywords: | hierarchical analysis; failure mode and effect analysis; risk analysis; interdependence analysis |
| Index terms: | case study, failure mode, enterprise resource planning, monitoring, data acquisition, interdependence, data analysis, asset management, validation, decision-making, information system, risk analysis |
| Subjects: | reliability engineering, environmental hazards, asset management, control systems, data collection methods, data analysis and analytics, professional development, computer science, information systems, organizational analysis, decision analysis |
| Topics: | Risk Management, Sustainability, Engineering Principles, Business Strategy, Information Management, Research Practice, Organizational Design, Site Management, Digital Applications |
| Descriptive scope: | 4 PCEA |
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