| Título: | An effective method to improve Electronic Equipment Condition Monitoring Based on KPCA-EDA and MMSH-SVDD |
| Autores: |
Yang, Shen; Ordnance Engineering College Meng, Chen; Ordnance Engineering College Lv, Meng; Ordnance Engineering College |
| Fecha: | 2014-05-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: |
Technology; ,information; method PCA-EDA, MMSH-SVDD, Electronic equipment, Condition monitoring, Method |
| Descripción: | In order to improve the validity of electronic equipment condition monitoring, overcome the shortage of normal KPCA (Kernel Principal Component Analysis) and SVDD (Support Vector Data Description) monitoring model, a method on electronic equipment condition monitoring based on KPCA-EDA (KPCA- Estimation of Distribution Algorithm ) and MMSH-SVDD (Maximal Margin Separating Hypersphere SVDD Mode ) is put forward. Firstly, the feature of original monitoring data is extracted by KPCA-EDA algorithm, and a group of features with enough state identifying information are obtained; then the MMSH-SVDD model is trained by the normal state and a little bit of fault state features, and the unknown state feature is applied to the trained model; Finally, a filter circuit is taken as an example in simulations, the result shows that this method is the effective method improve the performance of electronic equipment condition monitoring. |
| Idioma: | No aplica |