Details
| Title | Servitization and physical asset management |
|---|---|
| Creators | Provost Michael J., |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Manufacturing industries. ; Service industries. ; Organizational change. ; Capital investments. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1134149768 |
| Record create date | 12/31/2019 |
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- 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
- Introduction
- 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
