Detection of insulation degradation by-products in transformer oil using ZnO coated IDC sensor

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal on Smart Sensing and Intelligent Systems Pub Date : 2024-01-01 DOI:10.2478/ijssis-2024-0007
Shaheen Parveen, Obaidur Rahman, M. Ajmal Khan, Javid Ali, Shabana Mahfuz, Tarikul Islam, S. A. Khan
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Abstract

Condition monitoring of oil-immersed in-service transformers to facilitate preventive maintenance is still a challenge. Monitoring of 2-Furfuryldehyde (2-FAL), released in the transformer oil as a result of paper insulation degradation, and moisture ingress can provide insight into the health of the insulation of transformers. Since 2-FAL and moisture are high dielectric constant contamination, capacitive sensor-based detection is a potential solution. A novel Inter digital Capacitive (IDC) sensor is reported in this paper to measure the concentration of 2-FAL and moisture uses Zinc Oxide (ZnO) as a sensing film. The sensor shows good sensitivity, approximately linear characteristics, and low characteristic drift.
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利用氧化锌涂层 IDC 传感器检测变压器油中的绝缘降解副产品
对在役油浸式变压器进行状态监测以促进预防性维护仍是一项挑战。监测变压器油中因绝缘纸降解而释放的 2-甲醛(2-FAL)和湿气的侵入,可以深入了解变压器绝缘的健康状况。由于 2-FAL 和湿气是高介电常数污染物,因此基于电容传感器的检测是一种潜在的解决方案。本文报告了一种新型数字间电容式 (IDC) 传感器,该传感器使用氧化锌 (ZnO) 作为传感薄膜,用于测量 2-FAL 和湿气的浓度。该传感器具有良好的灵敏度、近似线性的特性和较低的特征漂移。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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