Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
Magnetic sensor is a relatively new method to collect time-resolved partial discharge (PD) signals in XLPE cables. This paper proposes a simple yet effective method to recognize patterns of PD signals obtained from the magnetic sensor. The technique consists of wavelet transformation to de-noise the...
Saved in:
Main Authors: | Tho N.T.N., Chakrabarty C.K., Siah Y.K., Ghani A.B.Abd. |
---|---|
其他作者: | 54584502600 |
格式: | Conference paper |
出版: |
2023
|
主题: | |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
FPGA implementation of neural network classifier for partial discharge time resolved data from magnetic probe
由: Nguyen T.N.T., et al.
出版: (2023) -
Wavelet-based text recognition
由: Muhammad Zulkhairi, HM Ismail
出版: (2016) -
Analysis of partial discharge measurement data using a support vector machine
由: Aziz N.F.A., et al.
出版: (2023) -
Identification of different types of partial discharge sources from acoustic emission signals in the time-frequency representation
由: Chai M.L., et al.
出版: (2023) -
Identification of different types of partial discharge sources from acoustic emission signals in the time-frequency representation
由: Chai M.L., et al.
出版: (2023)