Research on Acoustic-Vibration Joint Detection Fault Diagnosis of Abnormal Transformer

Author:

Shengbo Xu,Jun Zeng,Lu Sun,Hongliang Liu,Chunyan ZangORCID

Publisher

Springer Nature Singapore

Reference22 articles.

1. Yong, H., Lei, C.: Statistical Analysis of Fault examples of large Power Transformer. Electr. Saf. Technol. 2003(01), 20–22 (2003). (in Chinese)

2. Guo, C., Zhu, C., Zhang, L., et al.: A fault diagnosis method for power transformer based on multiclass multiple-kernel learning support vector machine. Proc. CSEE 30(13), 128–134 (2010). (in Chinese)

3. Wang, C., Xu, A., Wang, G., et al.: Experimental research on detection of transformer fault by impulse response method. Insulating Mater. 2017(4), 67–71 (2017). (in Chinese)

4. Liu, Y., Ji, S., Yang, F., et al.: Characteristics and application of sweep frequency impedance method for detecting transformer fault. High Voltage Eng. 42(10), 3237–3245 (2016). (in Chinese)

5. Gonzalez, C., Pleite, J., Salas, R.A., et al.: Transformer diagnosis approach using frequency response analysis method. In: Conference of the IEEE Industrial Electronics Society [S.l.], pp. 2465–2470. IEEE (2006)

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