Name
Title | ||
|---|---|---|
Mechanical Life Prognosis Of High Voltage Circuit Breakers Based On Support Vector Machine |
Abstract | ||
|---|---|---|
Mechanical fault is one of the main faults occurring during the life cycle of high-voltage circuit breakers (HVCBs), which has a significant influence on the reliability of the electrical power system. In this paper, the mechanical prediction algorithm for HVCBs based on support vector machine (SVM) was studied. Firstly, we used a sliding time window (STW) method to extract features of the travel curves of the movable contacts and coil current curves of HVCBs. Then the historic data were used to learn a support vector regression machine and finally to predict the new curves. In the end, the mechanical life experiment data of a HVCB were applied to validate the feasibility of the algorithm. The results showed that the proposed algorithm could predict the mechanical condition of HVCBs successfully. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | high voltage circuit breaker, mechanical life, support vector machine, time series |
Field | DocType | Citations |
Electric power,Support vector regression machine,Mathematical optimization,Control theory,Computer science,Support vector machine,Electromagnetic coil,Circuit breaker,High voltage | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Zhang | 1 | 0 | 1.01 |
| Ronghui Huang | 2 | 0 | 0.34 |
| Senjing Yao | 3 | 0 | 1.01 |
| Gaoyang Li | 4 | 0 | 1.01 |
| Linlin Zhong | 5 | 0 | 0.34 |
| Xiaohua Wang | 6 | 10 | 10.40 |