New Transformer Oil Density Measurement Method Based on PMUTs-on-CMOS

Liquid parameter detection plays a crucial role in various fields, particularly in electrical engineering, where monitoring transformer oil density is essential for ensuring transformer reliability. In this study, a novel transformer oil density detection method based on the acoustic wave time-of-flight principle is proposed, temperature dependent analysis is conducted over a wide range of densities. Additionally, an associated parameter extraction method aiming for application in transformer oil line density detection is presented. To validate the reliability of the model, a PMUTs-fluid-PMUTs (PFP) density measurement experimental platform is developed, which represents the first application of a PMUTs-based ranging system to measure the internal line density of transformer oil. To assess the accuracy and stability of the density measurement system, comparative experiments on transformer oil under various conditions are conducted. The results show that the PMUTs-on-CMOS system can detect transformer oil line density with an error margin of less than 1.68%. The proposed system overcomes traditional limitations of bulky equipment and lack of real-time capability, thereby enabling the measurement of average variations in the line path density of transformer oil, while providing low power consumption, high accuracy, rapid response, and easy integration.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-08
DOI
https://doi.org/10.1109/jsen.2025.3557159
Citations
1
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.74

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article

New Transformer Oil Density Measurement Method Based on PMUTs-on-CMOS

Zhengchun Liu, Heru Wang, Jiafeng Ding, Xinmei Li
1 citations
IEEE Sensors Journal
Analytical Chemistry and Sensors
0.74
article

New Transformer Oil Density Measurement Method Based on PMUTs-on-CMOS

Zhengchun Liu, Heru Wang, Jiafeng Ding, Xinmei Li
article en
1 citations

Abstract

Liquid parameter detection plays a crucial role in various fields, particularly in electrical engineering, where monitoring transformer oil density is essential for ensuring transformer reliability. In this study, a novel transformer oil density detection method based on the acoustic wave time-of-flight principle is proposed, temperature dependent analysis is conducted over a wide range of densities. Additionally, an associated parameter extraction method aiming for application in transformer oil line density detection is presented. To validate the reliability of the model, a PMUTs-fluid-PMUTs (PFP) density measurement experimental platform is developed, which represents the first application of a PMUTs-based ranging system to measure the internal line density of transformer oil. To assess the accuracy and stability of the density measurement system, comparative experiments on transformer oil under various conditions are conducted. The results show that the PMUTs-on-CMOS system can detect transformer oil line density with an error margin of less than 1.68%. The proposed system overcomes traditional limitations of bulky equipment and lack of real-time capability, thereby enabling the measurement of average variations in the line path density of transformer oil, while providing low power consumption, high accuracy, rapid response, and easy integration.

IEEE Sensors JournalVol. 25(11)
Central South University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Affordable and clean energy
Openalex Percentile: Top 35%
Analytical Chemistry and Sensors
0.74
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