Condition Monitoring Using Computational Intelligence Methods Applications in Mechanical and Electrical Systems /
Condition monitoring uses the observed operating characteristics of a machine or structure to diagnose trends in the signal being monitored and to predict the need for maintenance before a breakdown occurs. This reduces the risk, inherent in a fixed maintenance schedule, of performing maintenance ne...
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| Format: | Electronic eBook |
| Language: | English |
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London :
Springer London,
2012.
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction to Condition Monitoring
- Data Gathering Methods
- Preprocessing and Feature Selection
- Condition Monitoring Using Neural Networks
- Condition Monitoring Using Support Vector Machines
- Condition Monitoring Using Neuro-fuzzy Methods
- Condition Monitoring Using Neuro-rough Methods
- Condition Monitoring Using Hidden Markov Models and Gaussian Mixture Models
- Condition Monitoring Using Hybrid Techniques
- Condition Monitoring Using Incremental Learning with Genetic Algorithms
- Conclusion.
