Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey

被引:46
作者
Secic, Adnan [1 ,2 ]
Krpan, Matej [2 ]
Kuzle, Igor [2 ]
机构
[1] DV Power, S-18125 Lidingo, Sweden
[2] Univ Zagreb, Dept Energy & Power Syst, Fac Elect Engn & Comp, Zagreb 10000, Croatia
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Power transformers; power system faults; power system reliability; fault diagnosis; maintenance; acoustic emission; acoustic signal processing; acoustic measurements; acoustic sensors; vibrations; LOAD TAP-CHANGERS; DETECTING WINDING DEFORMATIONS; VIBRATION SIGNALS; WAVELET TRANSFORM; FAULT-DIAGNOSIS; SYSTEM; NOISE; OLTC;
D O I
10.1109/ACCESS.2019.2923809
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems.
引用
收藏
页码:83915 / 83931
页数:17
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