Artificial intelligence (AI) represents a programming approach and methodology that has evolved and is still evolving for effective maintenance management through its use in condition monitoring (CM). The most prevalent application of AI has been fault diagnosis and trouble shooting in maintenance of industrial machinery. AI tools are used in maintenance of all types of industrial machinery. Due to the success of AI in CM, this book compiles all AI tools used in CMg to structure them in a reference handbook.
Preface
Chapter 1 : Massive Field Data Collection : Issues and Challenges
Chapter 2 : Condition Monitoring : Available Techniques
Chapter 3 : Challenges of Condition Monitoring Using AI Techniques
Chapter 4 : Input and Output Data
Chapter 5 : Classification Based Techniques
Chapter 6 : Nearest Neighbor Based Techniques
Chapter 7 : Clustering Based Techniques
Chapter 8 : Statistical Techniques
Chapter 9 : Information Theory Based Techniques
Chapter 10 : The Uncertainty Management
Index
