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...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Edició: | 2012. |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Condition Monitoring Using Computational Intelligence Methods, Texte imprimé, 9781447123798 |
Taula de continguts:
- 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