Case study application of determining end of asset physical life using servival analysis cincinnati and milwaukee.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
[Place of publication not identified] :
Iwa Publishing
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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 Pipes3.3 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 ModelChapter 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 AnalysisChapter 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 Models5.3 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