
Case Study Application of Determining End of Asset Physical Life Using Survival Analysis
Description
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Considerable progress has been made over the past decade, especially the last five years, in understanding how infrastructure assets actually fail. While much remains to be done, a body of refined techniques for assessing condition and predicting failure has emerged, based largely on the improved understanding of failure mechanics. This progress has focused on predicting remaining physical life. Physical life is only one of several types of important "asset lives". Service level/capacity life and economic life play critical roles in determining which management strategies are most cost effective and at what point to transition those investment strategies from maintenance/operations to capital reinvestment for a given asset. The optimal investment strategy is directed at minimizing total cost to the utility - including deferral or avoidance of the consequences to customers and community of failure (alternatively, maximize benefit to the community).
This research draws on concepts and techniques from advanced risk analysis, the reliability sciences and microeconomics to provide for the development of a web-based tool to guide the asset management practitioner in meeting the challenge of developing an investment strategy that represents the best integration of maintenance, operations, and capital investment.
A copy of the manual will be supplied to you and the order confirmed by email. This email is to be sent to Gina Street at WERF on gstreet@werf.org as proof of purchase and copy of the tool will be supplied to you at no additional cost.
More details
Content
- Cover
- Part 1: Case Study Application of Determining End of Asset Physical Life Using Survival Analysis
- Copyright
- Acknowledgments
- Abstract and Benefits
- Table of Contents
- List of Tables
- List of Figures
- Executive Summary
- Chapter 1.0: Introduction
- Chapter 2.0: Ideal Data Set for End of Asset Life Decision Process
- 2.1 Dataset to Determine End of Physical Life
- 2.2 Dataset to Determine End of Economic Life
- 2.3 Dataset to Determine End of Service Life
- Chapter 3.0: Data Attributes
- 3.1 GCWW/MSD Data Attributes
- 3.2 GCWW/Data Statistics - Water Pipes
- 3.3 MSD Data Statistics - Sewer Pipes
- 3.4 Missing Attributes from Dataset
- Chapter 4.0: Data Gaps and Assumptions
- 4.1 Data Gaps and Assumptions
- Chapter 5.0: Data Analysis and Survival Curve Development
- 5.1 Application of EOAL Tool to Determine End of Physical Life
- 5.2 GCWW Data - Water Pipes
- 5.2.1 Overview
- 5.2.2 Selection of Significant Variables
- 5.2.3 Development of Survival Model
- 5.3 Metropolitan Sewer District (MSD) - Sewer Data
- 5.3.1 Overview
- 5.3.2 Selection of Significant Variables
- 5.3.3 Development of Survival Model
- Chapter 6.0: Performance Assessment
- 6.1 Performance Assessment of EOAL Tool Results
- References
- Part 2: Case Study Application of Determining End of Physical Life Using Survival Analysis
- Copyright
- Acknowledgments
- Abstract and Benefits
- Table of Contents
- List of Tables
- List of Figures
- List of Acronyms
- Executive Summary
- Chapter 1.0: Introduction
- Chapter 2.0: Introduction to Survivor Analysis
- 2.1 Overview
- 2.2 Brief Introduction to Survival Analysis
- 2.3 Benefits of Survival Analysis
- Chapter 3.0: Data Attributes
- 3.1 MMSD Data Overview
- 3.2 MMSD Data - RAS/WAS Pump Attributes
- Chapter 4.0: Data Gaps and Assumptions
- 4.1 Data Gaps and Assumptions
- 4.2 Definition of Failure
- 4.3 Distribution of MMSD Assets
- Chapter 5.0: Data Analysis and Survival Curves and Development
- 5.1 Introduction
- 5.2 Survival Analysis of Motor Assets
- 5.2.1 Selecting Significant Variables
- 5.2.2 Non-Parametric Survival Model
- 5.2.3 Parametric Survival Model
- 5.2.4 Comparison of Non-Parametric and Parametric Survival Models
- 5.3 Survival Analysis of Pump Assets
- 5.3.1 Selecting Significant Variables
- 5.3.2 Non-Parametric Survival Model
- 5.3.3 Parametric Survival Model
- 5.3.4 Comparison of Non-Parametric and Parametric Survival Models
- 5.4 Survival Analysis of Motor and Pump Assets Combined
- 5.4.1 Selecting Significant Variables
- 5.4.2 Non-Parametric Survival Model
- 5.4.3 Parametric Survival Model
- 5.4.4 Comparison of Non-Parametric and Parametric Survival Models
- Chapter 6.0: Discussions and Recommendations
- 6.1 Summary
- 6.2 Recommendations
- 6.3 Assessment of EOAL Tool
- 6.4 Conclusion
- Appendix A: Observations Relating to the Case Study
- References
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