| contributor author | Aiordachioaie, D. | |
| date accessioned | 2020-03-12T19:57:21Z | |
| date available | 2020-03-12T19:57:21Z | |
| date issued | 2014 | |
| identifier other | 6842422.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/996527?locale-attribute=fa&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | On quick-change detection based on process adaptive modelling and identification | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8116265 | |
| subject keywords | electrodes | |
| subject keywords | pulsed power switches | |
| subject keywords | spark gaps | |
| subject keywords | electrode erosion characteristics | |
| subject keywords | failure prediction | |
| subject keywords | high-power repetitive two-electrode spark-gap switch | |
| subject keywords | pulsed power system | |
| subject keywords | Atmospheric modeling | |
| subject keywords | Electrodes | |
| subject keywords | Power system stability | |
| subject keywords | Predictive models | |
| subject keywords | Switches | |
| subject keywords | Switching circuits | |
| subject keywords | Voltage measurement | |
| identifier doi | 10.1109/PLASMA.2014.7012297 | |
| journal title | evelopment and Application Systems (DAS), 2014 International Conference on | |
| filesize | 599601 | |
| citations | 0 | |