Title :
Model of integrative denoise in on-line PD monitoring
Author :
Xiaorong, Wang ; Longlong, Hu ; Haiyang, Zhou ; Zhang, Yan
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
Abstract :
Based on the summary of the possible disturbances during the detection of the partial discharge (PD) pulses and the relative denoising methods, an improved model of integrative denoise in PD monitoring is proposed. In the model, the analysis of disturbances existed in a specific site is emphasized, which will help to make the denoising measures more efficient and flexible. The denoising result to the measured signal in the lab indicates that it is possible to extract PD signals effectively and hold the most information of the PD pulses, which may be helpful to analyze the PD signals deeply and build a fine fingerprint library, and then improve the classification and recognition of the PD signals
Keywords :
interference suppression; monitoring; partial discharge measurement; PD pulse detection; integrative denoising model; on-line monitoring; Data mining; Fingerprint recognition; Information analysis; Libraries; Monitoring; Noise reduction; Partial discharge measurement; Partial discharges; Pulse measurements; Signal analysis;
Conference_Titel :
Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
Conference_Location :
Himeji
Print_ISBN :
4-88686-053-2
DOI :
10.1109/ISEIM.2001.973588