/ 5% ~ 5% Fig. Experiment model of internal partial discharge. 5-6 a b 7 -..

Size: px

Start display at page:

Download "/ 5% ~ 5% Fig. Experiment model of internal partial discharge. 5-6 a b 7 -.."

腾吴
5 years ago
Views:

1 ELECTRI C MACHINES AND CONTROL Vol. 5 No. 0 Oct TM 85 A X Ultrasonic characteristics of motor partial discharge YANG Yong-ming CHEN Xue-jun CHEN Min-you WANG Yuan. State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing UniversityChongqing China. Department of Electronic Engineering Putian UniversityPutian 500China Abstract In order to explore a new measurement method of partial discharge PD for motor the electrical mechanism of PD and the situation of PD monitoring were discussed. An approach using ultrasonic for monitoring PD in a motor was proposed. Then several typical PD models of motor windings were constructedand the PD monitoring system was developed. In the PD laboratory four narrow-band ultrasonic sensors were used to detect the ultrasonic of the typical PD models. And under the same experiment conditions the characteristics of the ultrasonic of the typical PD models were analyzed and compared. Experimental results show that the waveform or spectral characteristics of ultrasonic signals are different among the different types of PD. Therefore the PD features of the motor can be extracted based on ultrasonic and then the preparatory work for pattern recognition research has been completed. Key words partial discharge motors ultrasonic characteristic virtual instrument DA

2 / 5% ~ 5% Fig. Experiment model of internal partial discharge. 5-6 a b 7 -..

3 0 65 (a) 防晕层破坏的放电模型 Fig. (b) 表面有油污染物的放电模型 4 Experiment model of surface partial discharge 5 4 PXR04 PXPA Ⅱ PCI - 74UL Fig Experiment model of arc discharge 0 调压仪实验变压器模型传感器放大器数据采集卡基于虚拟仪器的监测系统 5 6 Fig. 5 5 Hardware Structure of the system PX04 PZT 0 ~ 65 khz 90 khz Fig. Experiment model of slot partial discharge PXPA Ⅱ. 4 5 khz MHz 40dB PXR04 BNC PCI - 74UL PCI - 74UL 4 ATE RD 0 MS /s 4 ADC

66 5 k FIFO 7 a 4 7 b 7 a 0 V 0 ~ 70 khz 7 a 96 khz 0 ~ 40

5 kv 8 0 ~ 40 khz 96 khz 96 khz 40 khz 55 khz 6 Fig.

4 66 5 k FIFO 7 a 4 7 b 7 a 0 V 0 ~ 70 khz 7 a 96 khz 0 ~ 40 khz 6MW /4kV 4 (a) 防晕层破坏的放电模型 0 cm khz. 5 kv (b) 表面有油污染物的放电模型 7 4 kv Fig. 7 Time-frequency plot of surface partial discharge kv 8 0 ~ 40 khz 96 khz 96 khz 40 khz 55 khz 6 Fig. 6 Time-frequency plot of internal partial discharge 8. Fig. 8 Time-frequency plot of slot partial discharge. 4 6 kv

0 67 9 96kHz 55 khz 0 khz 60 khz Fig. 9 9. 5 Time-frequency plot of arc discharge J - 8. 997 658-66. 6 J 5-6.. 00 7-6. HAO YanpengWANG GuoliXIE Hengkun.

5 kHz 55 khz 0 khz 60 khz Fig Time-frequency plot of arc discharge J J HAO YanpengWANG GuoliXIE Hengkun. Study on aging characteristics of generator stator insulation based on partial dis- charge and ultrasonic wave method J 96kHz Electrotechnical Society M nostic testing on hydraulic generators J Energy Conversion D J SU PengshengWANG XiaomingCAO Haixianget al. Research of on-line monitoring and diagnosis system for large generator stator windings partial discharge J. Advanced Technology of Electrical Engineering and Energy ZHU HGREEN VSASIC M. Identification of stator insulation deterioration using on-line partial discharge testingj. IEEE E- lectrical Insulation Magazine GABE Paoletti. J HUANG ChengjunYU WeiyongGABE Paolettiet al. Partial discharge on-line monitoring and its application to large generators. Large Electric Machine & Hydraulic Turbine BOZZO RGEMME CGUASTRAVINO Fet al. Localisation of discharge sites on power generator bars by means of ultrasonic measurements C/ /IEEE Instrumentation and Measurement Technology ConferenceMay 9-997OttawaCanada. Transactions of China. M. 8JF LYLESGC STONEM KURTZ. Experience with PDA diag-. IEEE Transaction on 9MOHSEN FHOSSEIN BEMST G. Partial discharge and dissipation factor behavior of model insulating systems for high voltage rotating machines under different stresses J. IEEE Electrical Insulation Magazine GAO KTAN KLI F. PD pattern recognition for stator bar J models with six kinds of characteristic vectors using BP network. IEEE Transactions on Dielectrics and Electrical Insulation WANG ZLI CPENG Pet al. Partial discharge recognition of stator winding insulation based on artificial neural networkc/ / Conference Record of the 000 IEEE Intemational Symposium on

6 68 5 Electrical InsulationApril AnaheimCA USA frequency range selection for measurement of partial discharge in M J. Electric Machines and Control J YANG LiQUAN YushengZHOU Yuefenget al. Character of large gengerator stator winding fault discharge and its recognition J. Advanced Technology of Electrical Engineering and Energy PXR M UHF J CHEN QingguoWANG YonghongGAO Wenshenget al. The transformer oil with UHF method and interference suppression 6CHAI M LTHAYOOB Y H MGHOSH P Set al. Identification of different types of partial discharge sources from acoustic e- mission signals in the time - frequency representation C/ /First International Power and Energy Coference PEConNovember PutrajayaMalaysia

34 22 f t = f 0 w t + f r t f w θ t = F cos p - ω 0 t - φ 1 2 f r θ t = F cos p - ω 0 t - φ 2 3 p ω 0 F F φ 1 φ 2 t A B s Fig. 1

34 22 f t = f 0 w t + f r t f w θ t = F cos p - ω 0 t - φ 1 2 f r θ t = F cos p - ω 0 t - φ 2 3 p ω 0 F F φ 1 φ 2 t A B s Fig. 1 22 2 2018 2 Electri c Machines and Control Vol. 22 No. 2 Feb. 2018 1 2 3 3 1. 214082 2. 214082 3. 150001 DOI 10. 15938 /j. emc. 2018. 02. 005 TM 301. 4 A 1007-449X 2018 02-0033- 08 Research of permanent