论文信息 - Instrumentation system and digital signal processing for studying the characteristics of the acoustic and electrical signals generated by partial discharges

Instrumentation system and digital signal processing for studying the characteristics of the acoustic and electrical signals generated by partial discharges

The aim of this research work is the study and the characterization of electrical and acoustic signals generated by internal partial discharges (PD) in an oil filled chamber. For this purpose, simultaneous measurements were made of three acoustic sensors (ultrasonic PZT) mounted outside on the walls of the chamber and one electric sensor (HF ferrite). The signals were processed with a novel algorithm in order to study the existence of correlations between the electric and the acoustic signals through a statistical analysis of the acoustic emissions that were generated at the same distance.

[1] G. Keppel,et al. Data analysis for research designs: Analysis of variance and multiple regression/correlation approaches. , 1990 .

[2] Richard J. Van Brunt. Stochastic Properties of Partial-Discharge Phenomena: A Review , 1991 .

[3] L.E. Lundgaard,et al. Partial discharge. XIV. Acoustic partial discharge detection-practical application , 1992, IEEE Electrical Insulation Magazine.

[4] G. H. Vaillancourt,et al. Propagation behaviour of acoustic partial discharge signals in oil-filled transformers , 1996, ICDL'96. 12th International Conference on Conduction and Breakdown in Dielectric Liquids.

[5] P. von Glahn,et al. Correlations between electrical and acoustic detection of partial discharge in liquids and implications for continuous data recording , 1996, Conference Record of the 1996 IEEE International Symposium on Electrical Insulation.

[6] Ray Bartnikas,et al. Partial discharges. Their mechanism, detection and measurement , 2002 .

[7] Xiandong Ma,et al. Automated wavelet selection and thresholding for PD detection , 2002 .

[8] K. Udayakumar,et al. Online partial discharge detection and location techniques for condition monitoring of power transformers: A review , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[9] Jose A. Garcia-Souto,et al. All-fiber intrinsic sensor of partial discharge acoustic emission with electronic resonance at 150 kHz , 2010, Photonics Europe.