Investigation of partial discharge in piezoelectric ceramics

Tian, Huawei; Glaum, Julia; Genenko, Yuri A.; Phung, B.T.; Hoffman, Mark

doi:10.1016/j.actamat.2015.09.031

Cited by 11 publications

(5 citation statements)

References 26 publications

(33 reference statements)

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“…the necessary field to switch the orientation of a domain in a ferroelectric material. The applied field used in this model was selected as it provided contrast between poled and unpoled regions; increasing the applied field (analogous to increasing the poling voltage) results in higher poled fractions of material, however, in real materials this is limited by electrical breakdown in the pores that discharges the poling field [38].…”

Section: Single Pore Modelmentioning

confidence: 99%

Freeze cast porous barium titanate for enhanced piezoelectric energy harvesting

Roscow

Zhang

Kraśny

et al. 2018

J. Phys. D: Appl. Phys.

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Energy harvesting is an important developing technology for a new generation of self-powered sensor networks. This paper demonstrates the significant improvement in the piezoelectric energy harvesting performance of barium titanate by forming highly aligned porosity using freeze casting. Firstly, a finite element model demonstrating the effect of pore morphology and angle with respect to poling field on the poling behaviour of porous ferroelectrics was developed. A second model was then developed to understand the influence of microstructure-property relationships on the poling behaviour of porous freeze cast ferroelectric materials and their resultant piezoelectric and energy harvesting properties. To compare with model predictions, porous barium titanate was fabricated using freeze casting to form highly aligned microstructures with excellent longitudinal piezoelectric strain coefficients, d33. The freeze cast barium titanate with 45 vol.% porosity had a d33 = 134.5 pC/N, which compared favourably to d33= 144.5 pC/N for dense barium titanate. The d33 coefficients of the freeze cast materials were also higher than materials with uniformly distributed spherical porosity due to improved poling of the aligned microstructures, as predicted by the models. Both model and experimental data indicated that introducing porosity provides a large reduction in the permittivity (𝜀 "" # ) of barium titanate, which leads to a substantial increase in energy harvesting figure of merit, 𝑑 "" % /𝜀 "" # , with a maximum of 3.79 pm 2 /N for barium titanate with 45 vol.% porosity, compared to only 1.40 pm 2 /N for dense barium titanate. Dense and porous barium titanate materials were then used to harvest energy from a mechanical excitation by rectification and storage of the piezoelectric charge on a capacitor. The porous barium titanate charged the capacitor to a voltage of 234 mV compared to 96 mV for the dense material, indicating a 2.4-fold increase that was similar to that predicted by the energy harvesting figures of merit.

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Section: Single Pore Modelmentioning

confidence: 99%

Freeze cast porous barium titanate for enhanced piezoelectric energy harvesting

Roscow

Zhang

Kraśny

et al. 2018

J. Phys. D: Appl. Phys.

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“…An acoustic emission (AE) detection technique for PD detection has great advantages relative to other methods such as immunity to electromagnetic interference (EMI) under field conditions provided that ground loop has been avoided [18,19]. One of the AE sensors usually used is the piezoelectric sensor (PZT) [20][21][22]. However, AE sensors can capture a variety of signals, including PD signals.…”

Section: Introductionmentioning

confidence: 99%

Analysis of acoustic sensor placement for PD location in power transformer

Khalid¹,

Rohani²,

Ismail³

et al. 2020

Turk J Elec Eng & Comp Sci

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Partial discharge (PD) is an abnormal activity that occurs in high-voltage components, such as power cables, switchgear, machines, and power transformers. Such activity needs to be diagnosed for the equipment to last longer as PD could harm the insulation and potentially lead to asset destruction from time to time. Moving one or more externally mounted acoustic sensors to different locations on the transformer tank is commonly used in order to detect and locate PD signal occurring in the power transformer. However, this procedure may lead to less accuracy in PD identification. Therefore, this research paper presents an analysis of acoustic sensor placement based on time of arrival (TOA) technique for PD location in a power transformer. The detection and location can be determined by permanently installing the acoustic sensor to provide valuable data in an early stage of occurrence for online condition PD monitoring. Several methods are available for the detection of PD signal, whereby one of the best choices is via acoustic emission (AE). PD creates an ultrasonic signal used for PD detection. This paper proposes the possible placement of AE sensors to be mounted on the power transformer wall based on ideal and static PD signals. The sensors were placed in order to capture the PD signal without any disturbance signal from inside or outside the tank. The time for the signal for the first approach for each sensor is recorded to estimate the PD location using the TOA technique. A comparison between the least square method (LSM) and Gauss-Jordan elimination (GJE) for the TOA technique was analyzed to differentiate the resulting performance. This research utilized three different PD sources to apply the performance analysis on PD locations, while five cases were proposed to represent the five different placements of four sensors for the analysis. This research ultimately suggests that sensors be placed and randomly mounted on the four sides of the transformer tank, with one sensor allocated to one side. Among all five cases, Case 1 and Case 5 yielded a displacement error (DE) less than others, while between these two cases, Case 5 gave the lowest DE. The findings were recorded based on LSM and GJE methods used to differentiate the resulting performance.

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“…As the expansion of power equipment and the improvement of voltage levels, transformers is an important hub-type equipment in power systems, have received increasing attention [1]. Real-time monitoring of partial discharge (PD) of transformers is an effective means to ensure the insulation safety of high-voltage electrical equipment [2,3]. The PD pulse signal of the transformer is weak and the frequency domain is wide, which is highly susceptible to electromagnetic interference on the site and reduces the reliability of the detection signal.…”

Section: Introductionmentioning

confidence: 99%

Fiber Optic MEMS Ultrasonic Sensor and its Application in Partial Discharge Detection

Liu

Shi²,

Xie³

et al. 2023

J. Phys.: Conf. Ser.

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In this paper, an optical fiber based ultrasonic sensor was designed and applied to the detection and position of partial discharge (PD). The Fabry-Perot interferometer with a micro-electromechanical system (MEMS) diaphragm has been proven to have high sensitivity, with broadband acoustic frequency response up to 500 kHz and wide directivity. In the PD detection experiment, the minimum detectable pressure (MDP) of the fiber optical MEMS sensor is achieving 0.455μPaHz -1/2. In addition, four ultrasonic sensors are arranged around the ultrasonic source to conduct localization experiments. The results show that the system has excellent localization performance in x, y and z directions. The favourable acoustic performance of the MEMS sensor provides a high-sensitivity and high signal-to-noise ratio (SNR) detection method for PD detection.

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Investigation of partial discharge in piezoelectric ceramics

Cited by 11 publications

References 26 publications

Freeze cast porous barium titanate for enhanced piezoelectric energy harvesting

Freeze cast porous barium titanate for enhanced piezoelectric energy harvesting

Analysis of acoustic sensor placement for PD location in power transformer

Fiber Optic MEMS Ultrasonic Sensor and its Application in Partial Discharge Detection

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