Condition Monitoring Using Computational Intelligence Methods

Chapter 1 Introduction to Condition Monitoring in Mechanical and Electrical Systems

Chapter 2 Data Processing Techniques for Condition Monitoring

Chapter 3 Multi-Layer Perceptron for Condition Monitoring in a Mechanical System

Chapter 4 Bayesian Approaches to Condition Monitoring

Chapter 5 The Committee of Networks Approach to Condition Monitoring

Chapter 6 Gaussian Mixture Models and Hidden Markov Models for Condition Monitoring

Chapter 7 Fuzzy Systems for Condition Monitoring

Chapter 8 Rough Sets for Condition Monitoring

Chapter 10 Condition Monitoring Using Support Vector Machines and Extension Neural Networks Classifiers

Chapter 11 On-line Condition Monitoring Using Ensemble Learning

Chapter 12 Conclusion