دانلود کتاب Servitization and Physical Asset Management

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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
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