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[期刊论文]

An Efficient Self-Powered Method for Power Transformers Vibration Monitoring Sensors Based on the Sm-Doped-PMN-PT Piezoelectric Bimorph Array

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author:

Shu, S. (Shu, S..) [1] (Scholars:舒胜文) | Yu, R. (Yu, R..) [2] | Qiu, H. (Qiu, H..) [3] | Unfold

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Scopus

Abstract:

To realize passive vibration monitoring of power transformers, this study proposes a self-powered method for transformer vibration monitoring sensors based on the Sm-doped Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT) piezoelectric bimorph array. This study conducts the theoretical analysis and field measurement of the transformer vibration signals. In addition, the preparation method of a high-performance Sm-doped PMN-PT piezoelectric bimorph is investigated. The properties of the xSm-PMN-yPT ceramics are also analyzed. Further, the output voltage and power characteristics of the piezoelectric bimorph arrays with different combinations are compared. Finally, the validation and application of the prototype are presented. The experimental results show that the 2.5%Sm-PMN-32PT has high piezoelectric coefficient (d33) of 1710 pC/N. The results also indicate that the piezoelectric self-powered device with the parallel structure consisting of nine piezoelectric bimorphs has a maximum power generation of 2.341 mW under the measured transformer vibration excitation. Moreover, it is shown that it takes 75 min to complete the charging of the 7.5 V-1 F faradic capacitor from 4.4 V to 5 V to satisfy the condition for the required energy of 2.82 J for the vibration signal acquisition, processing, and transmission, realizing the intermittent passive vibration monitoring of the transformer for 16 times per day. Therefore, the proposed method has a promising engineering application prospect. IEEE

Keyword:

Circuit faults Energy harvesting Monitoring piezoelectric bimorph array piezoelectric energy harvesting Power transformer self-powered method Sensors Sm-doped-PMN-PT Transformer cores vibration monitoring sensors Vibrations Windings

Community:

  • [ 1 ] [Shu S.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou City, China
  • [ 2 ] [Yu R.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou City, China
  • [ 3 ] [Qiu H.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou City, China
  • [ 4 ] [Shu L.]School of Physics and Materials Science, Nanchang University, Nanchang City, China
  • [ 5 ] [Lu Y.]Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing City, China
  • [ 6 ] [Wang Z.]Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing City, China

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2024

Issue: 16

Volume: 24

Page: 1-1

4 . 3 0 0

JCR@2023

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

30 Days PV: 3

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