We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
城轨车辆辅助逆变器IGBT状态识别研究.
- Authors
季颖; 李小波; 冯鹏飞; 王睿轶; 王泉
- Abstract
Based on Wavelet packet decomposition and Mahalanobis distance, a method of IGBT state recognition applied to urban rail vehicles auxiliary inverter circuit is proposed. Firstly, establishing the Matlab circuit model, simulating and analyzing the abnormal states and normal state, the eigenvectors of the output current signal is obtained for wavelet packet decomposition. After obtaining the characteristic samples in different circuit states, the characteristic samples are used to calculate the Mahalanobis distance of each critical fault and normal condition, then the recognition threshold is obtained. In practical application, calculate the distance between the circuit to be measured and the normal state with Mahalanobis distance, and then compare the threshold interval to complete the circuit state recognition. The results shows that the method can directly recognize IGBT state, distinguish the parameter fault and the structural fault.
- Subjects
RAILROAD electric equipment; EIGENVECTORS; MATLAB (Computer software); ELECTRIC circuit networks; SWITCHED communication networks
- Publication
Computer Measurement & Control, 2018, Vol 26, Issue 6, p152
- ISSN
1671-4598
- Publication type
Article
- DOI
10.16526/j.cnki.11-4762/tp.2018.06.039