Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System
In order to solve the problem of fault location and real-time evaluation of fault development trend, it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition. By using the related signal characteristics of different types of faults, the characteristic varia...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2020-01-01
|
| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.04.300 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In order to solve the problem of fault location and real-time evaluation of fault development trend, it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition. By using the related signal characteristics of different types of faults, the characteristic variable related to various faults is designed and the corresponding diagnosis and prediction model is constructed, which realizes the detection and accurate positioning of various faults and the real-time prediction of fault trend. Finally, the effectiveness of the proposed method is verified by simulation. |
|---|---|
| ISSN: | 2096-5427 |