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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.