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Case study application of determining end of asset physical life using servival analysis cincinnati and milwaukee.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Duncan Rose
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Iwa Publishing
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