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Provost, Michael J.,. Servitization and physical asset management [[electronic resource]] / Michael J. Provost. — 1 online resource — <URL:http://elib.fa.ru/ebsco/2334045.pdf>.

Дата создания записи: 31.12.2019

Тематика: Manufacturing industries.; Service industries.; Organizational change.; Capital investments.

Коллекции: EBSCO

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Оглавление

  • Cover
  • Table of contents
  • Preface
  • Acknowledgments
  • List of Acronyms
  • CHAPTER 1 Introduction
    • A “Map” of the Book
    • What Are Assets?
    • Why Worry about Asset Management?
    • What Do We Need to Know about Our Assets?
    • How Do We Find Out What Is Happening?
    • What Is the Business Benefit?
    • Who Is in the Best Position to Carry Out Asset Management?
    • What Is Servitization?
    • Summary of the Book
    • References
    • Websites
  • CHAPTER 2 The Business Imperative
    • Introduction
    • Companies that Have Embraced Servitization
    • Problems and Issues with Making Services a Separate Business Unit
    • The Importance of Human Factors
    • Strategy
    • Financial Evaluation and Modelling
    • The Value of In-Service Monitoring of Assets
    • Life Cycle Costing
    • Process Chain Network Analysis
    • Books and Papers
    • Consultant Papers
    • Cambridge Service Alliance
    • Aston Business School
    • Other UK Universities
    • Universities Outside the United Kingdom
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 3 Modelling and Simulation
    • Introduction
    • Why Is Modelling and Simulation Useful?
    • Levels of Modelling
    • Simulation
    • Books and Papers
    • Some Useful Sources of Information for Specific Disciplines and Equipment Types
    • General Mathematical Modelling
    • Modelling Tools
    • Reference Material
    • Aerodynamics, Fluid Mechanics, and Turbomachinery
    • Thermodynamics
    • Control Systems
    • Electrical Systems and Batteries
    • Heating, Ventilation, and Air Conditioning (HVAC)
    • Aeroengines and Gas Turbines
    • Aircraft
    • Automotive
    • Diesels and Turbocharging
    • Railways
    • Ships
    • Combined Heat and Power (CHP)
    • Fuel Cells
    • Pumps
    • Wind Turbines, Solar, and Renewable Energy
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 4 Analysis
    • Introduction
    • Facets of Analysis
    • Difficulties with the Analysis Process
    • The “Traditional” Approach to Analysis
    • Iterative Analysis
    • An Alternative Approach to Analysis
    • Optimal Estimation and Kalman Filtering
    • The Kalman Filter Equations
    • Problems with the Kalman Filter
    • Books and Papers
    • References
    • Websites
    • Additional Material
      • Reference
  • CHAPTER 5 Observability
    • Introduction
    • Setting Up an Analysis
    • Generation of Exchange Rate Tables
    • Correlations Between Measurements
    • Inclusion of Sensor Bias
    • Correlations Between Component Performance Parameter Changes and/or Sensor Biases
      • References
  • CHAPTER 6 Time Series Analysis
    • Introduction
    • Time Series Basics
    • Moving Average
    • Exponential Smoothing
    • Kalman Filtering
    • The Optimal Tracker
    • Improving the Optimal Tracker
    • Books and Papers
    • References
    • Additional Material
      • References
      • Website
  • CHAPTER 7 Data Visualization
    • Introduction
    • Fundamental Information Requirements
    • Typical Information Solutions
    • Typical Information Building Blocks
      • Alerts
      • Bar and Column Charts
      • Dashboards
      • Data Export Capabilities
      • Fault/Event Cubes
      • Mapping
      • Parallel Coordinates Plots
      • Reporting
      • “Smart” Analytics
      • Summary Statistics
      • Time Series
      • User-Defined Calculations
      • Weighted Lists
      • X-Y Plots
    • Drill-Down
    • Business Intelligence
    • Books and Papers
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 8 More Complex Techniques
    • Introduction
      • Statistics
    • Data Science
    • Bayesian Statistics
    • R and Microsoft Excel®
    • Principal Component Analysis
    • Artificial Intelligence
    • Fuzzy Logic
    • Neural Networks
    • Case-Based Reasoning
    • KEEL®
    • Pattern Matching
    • Prognostics
    • Data Mining
    • Machine Learning
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 9 Data Gathering and Software Architectures
    • Introduction
    • Software Schematics
    • Data Gathering
    • Books and Papers
    • Machine to Machine (M2M)
    • The Industrial Internet and the IoT
    • Knowledge Management
    • Data Historians
    • Big Data
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 10 The Practicalities
    • Introduction
    • Reliability
    • Fault Trees, FMEA, FMECA, and FRACAS
    • Alarms
    • Maintenance
    • Spare Parts Management
    • Computerized Maintenance Management Systems (CMMS)
    • Availability
    • Condition Monitoring Techniques
    • Field Service
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 11 Standards and Procedures
    • Introduction
    • Asset Management
    • Books and Papers
    • Condition Monitoring
    • An Observation
    • References
    • Websites
    • Additional Material
      • References
      • Websites
  • CHAPTER 12 Summary and Conclusions
    • Summary
    • Servitization and Asset Management: Nine Key Points
    • Conclusions
    • References
    • Websites
    • Additional Material
      • References
  • Appendix A: Simplified Servitization Example
  • Appendix B: Power System Example
    • Introduction
    • The Scenario
    • Fuel Cell and Wind Turbine Modelling
    • Simulation Outputs
    • Analysis of Simulated Power System Data
    • Conventional Analysis
    • Iterative Analysis
    • Kalman Filtering
    • Time Series Visualization
    • The Optimal Tracker
    • Linear Regression
    • Statistics
    • Parallel Coordinates Plot
    • Pattern Matching
    • Neural Networks
    • Decision Trees
    • K Nearest Neighbors
    • Unsupervised Cluster Analysis
    • Support Vector Machines
    • A Final Thought
    • References
    • Websites
  • Looking after Planes, Trains, Clean Energy, and Human Health: 23 Important Lessons Learned the Hard Way
    • Examples and Stories
    • Conclusions
    • References
  • About the Author
  • Index

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