On-line partial discharge(PD)detection still remains a very challenging task because of the strong electromagnetic interferences.In this paper,a new method of de-noising,using complex Daubechies wavelet(CDW)transform,...On-line partial discharge(PD)detection still remains a very challenging task because of the strong electromagnetic interferences.In this paper,a new method of de-noising,using complex Daubechies wavelet(CDW)transform,has been proposed.It is a relatively recent enhancement to the real-valued wavelet transform because of tow important properties,which are nearly shift-invariant and availability of phase information.Those properties give CDW transform superiority over other real-valued wavelet transform,and then the construction algorithm of CDW is introduced in detail.Secondly,based on the real threshold algorithm of real-valued wavelet transform,complex threshold algorithm is devised.This algorithm take the different characteristics of real part and imaginary part of complex wavelet coefficients into account,it modifies the real and imaginary parts of complex wavelet coefficients respectively.Thirdly,to obtain a real de-noised signal,new combined information series is devised.By applying different combination of real part and imaginary part of de-noised complex signal,a real de-noised signal can be restored with higher peak signal-to-noise ratio(PSNR)and less distortion of original signals.Finally,On-site applications of extracting PD signals from noisy background by the optimal de-noising scheme based on CDW are illustrated.The on-site experimental results show that the optimal de-noising scheme is an effective way to suppress white noise in PD measurement.展开更多
Direct current (DC) partial discharge (PD) test has drawn extensive attention from world-wide electric power research institutes in recent years. However, presently, no DC PD detection device on the market has the sta...Direct current (DC) partial discharge (PD) test has drawn extensive attention from world-wide electric power research institutes in recent years. However, presently, no DC PD detection device on the market has the statistical function. Thus, we developed a test system for PD detection under DC voltage, which is characterized by strong anti-jamming capability, continuous high-speed real-time data acquisi- tion and effective, complete detection of DC PD signals. The DC PD mechanism, as well as the measuring principles, software system, and hardware design of the test equipment were introduced. Adopting typical electrode pairs, we tested the statistical spectrum of PD under DC voltage. The main difference in statistical spectrums between parallel plate electrodes and needle-plate electrodes was that the time interval between two consecutive discharges for needle-plate electrodes has obviously larger variation range than that for parallel plate electrodes, which could be the convincing proof for distinguishing the type of electrodes under DC PD. Practical results indicate that the proposed sys- tem can measure time domain signals of DC PD of oil-paper insulation effectively and promptly, and it can be used to determine and detect defects in DC power transmission equipment.展开更多
传统压电陶瓷超声传感器与电缆表面之间存在声学界面不匹配问题,而柔性压电超声传感器能够克服这一缺点、实现电缆局部放电超声信号的检测。然而持续提高柔性压电超声传感器的灵敏度,进一步降低其对超声信号的检出极限,是其走向实际应...传统压电陶瓷超声传感器与电缆表面之间存在声学界面不匹配问题,而柔性压电超声传感器能够克服这一缺点、实现电缆局部放电超声信号的检测。然而持续提高柔性压电超声传感器的灵敏度,进一步降低其对超声信号的检出极限,是其走向实际应用的关键。为实现这一目标,该文从柔性压电超声传感器的核心敏感材料(压电薄膜)的优化设计出发,研究了厚度对Pb(Zr_(0.52),Ti_(0.48))O_(3)(PZT)压电薄膜材料综合性能及其所制备的传感器灵敏度的影响。研究发现,受界面死层的影响,厚度约为1.2μm的PZT压电薄膜相较于厚度约为0.8μm、1.0μm和1.6μm的薄膜具有更大比例的(100)晶粒择优取向和更高的剩余极化,表现出最高的压电系数,更具备应用潜力。利用该厚度的PZT压电薄膜制备了柔性压电超声传感器,并用其检测在110 k V真型电缆上传播的由自动笔铅芯断裂产生的超声信号,计算得到该超声信号在交联聚乙烯绝缘层中的衰减系数为3.74 dB/m。该研究提供了一种利用压电薄膜厚度优化柔性压电超声传感器灵敏度的方法,为进一步推进柔性压电超声传感器在电缆等电力设备领域的应用提供了实验和理论基础。展开更多
基金Project Supported by National Natural Science Foundation China（50577069）, National Grid Company （2004-SGKJ）.
文摘On-line partial discharge(PD)detection still remains a very challenging task because of the strong electromagnetic interferences.In this paper,a new method of de-noising,using complex Daubechies wavelet(CDW)transform,has been proposed.It is a relatively recent enhancement to the real-valued wavelet transform because of tow important properties,which are nearly shift-invariant and availability of phase information.Those properties give CDW transform superiority over other real-valued wavelet transform,and then the construction algorithm of CDW is introduced in detail.Secondly,based on the real threshold algorithm of real-valued wavelet transform,complex threshold algorithm is devised.This algorithm take the different characteristics of real part and imaginary part of complex wavelet coefficients into account,it modifies the real and imaginary parts of complex wavelet coefficients respectively.Thirdly,to obtain a real de-noised signal,new combined information series is devised.By applying different combination of real part and imaginary part of de-noised complex signal,a real de-noised signal can be restored with higher peak signal-to-noise ratio(PSNR)and less distortion of original signals.Finally,On-site applications of extracting PD signals from noisy background by the optimal de-noising scheme based on CDW are illustrated.The on-site experimental results show that the optimal de-noising scheme is an effective way to suppress white noise in PD measurement.
基金Project supported by National Basic Research Program of China (973 Program) (2011CB 209400)State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments (SKLD10M09)Program for ±1 100 kV UHVDC Technology
文摘Direct current (DC) partial discharge (PD) test has drawn extensive attention from world-wide electric power research institutes in recent years. However, presently, no DC PD detection device on the market has the statistical function. Thus, we developed a test system for PD detection under DC voltage, which is characterized by strong anti-jamming capability, continuous high-speed real-time data acquisi- tion and effective, complete detection of DC PD signals. The DC PD mechanism, as well as the measuring principles, software system, and hardware design of the test equipment were introduced. Adopting typical electrode pairs, we tested the statistical spectrum of PD under DC voltage. The main difference in statistical spectrums between parallel plate electrodes and needle-plate electrodes was that the time interval between two consecutive discharges for needle-plate electrodes has obviously larger variation range than that for parallel plate electrodes, which could be the convincing proof for distinguishing the type of electrodes under DC PD. Practical results indicate that the proposed sys- tem can measure time domain signals of DC PD of oil-paper insulation effectively and promptly, and it can be used to determine and detect defects in DC power transmission equipment.
文摘传统压电陶瓷超声传感器与电缆表面之间存在声学界面不匹配问题,而柔性压电超声传感器能够克服这一缺点、实现电缆局部放电超声信号的检测。然而持续提高柔性压电超声传感器的灵敏度,进一步降低其对超声信号的检出极限,是其走向实际应用的关键。为实现这一目标,该文从柔性压电超声传感器的核心敏感材料(压电薄膜)的优化设计出发,研究了厚度对Pb(Zr_(0.52),Ti_(0.48))O_(3)(PZT)压电薄膜材料综合性能及其所制备的传感器灵敏度的影响。研究发现,受界面死层的影响,厚度约为1.2μm的PZT压电薄膜相较于厚度约为0.8μm、1.0μm和1.6μm的薄膜具有更大比例的(100)晶粒择优取向和更高的剩余极化,表现出最高的压电系数,更具备应用潜力。利用该厚度的PZT压电薄膜制备了柔性压电超声传感器,并用其检测在110 k V真型电缆上传播的由自动笔铅芯断裂产生的超声信号,计算得到该超声信号在交联聚乙烯绝缘层中的衰减系数为3.74 dB/m。该研究提供了一种利用压电薄膜厚度优化柔性压电超声传感器灵敏度的方法,为进一步推进柔性压电超声传感器在电缆等电力设备领域的应用提供了实验和理论基础。
