Study on sweep frequency impedance method for detecting internal winding short circuit fault in power transformer

Liu, Yong; Yang, Fan; Liang, Xiaochen; Ji, Shengchang; Sun, Xianghong; Zhu, Sheng-hong; Yao, Xin

doi:10.1109/ipmhvc.2014.7287227

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…made use of the superiority of cross recursion graph for non-stationary signal processing, and analyzed the vibration signals of iron core with recursion graph. However, the sensitivity of these diagnostic methods is not high, and a good diagnostic rate can only be achieved when serious mechanical faults occur in the iron core, which is obviously adverse to the long-term stability of the power grid [7,8] . Thus, a vowel print detection system with stable performance and highly integrated was developed.…”

Section: Introductionmentioning

confidence: 99%

“…Voice print detection system 2.2 Dual microphone array design2.2.1. Near-field and far-field environment modelsDepending on the distance from the microphone array to the point source relative to the size of the array aperture, different sound field models can be constructed[9,10] . According to whether the time delay caused by the incident Angle of the same source can be ignored, it can be divided into far field and near field.…”

mentioning

confidence: 99%

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Development of Double Channel Transformer Voiceprint Detection System Based on MEMS Digital Silicon Microphone

Wang

et al. 2023

J. Phys.: Conf. Ser.

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Aiming for on-line monitoring of typical mechanical faults of transformer, a two-channel MEMS digital silicon wheat voice print detection system is developed, which consists of two channel MEMS digital silicon wheat array, the host of sound acquisition system and the upper computer software with the function of displaying real-time waveform and spectrum analysis. The device can operate reliably in complex environments by adjusting the array spacing, improving the power quality, and adjusting the network protocol. Further, different test environments were built to test the resolution performance of the equipment to the center frequency of the sound source at different distances and angles of the sound source. The results show that the system can realize the resolution of the center frequency of different sound source distance and Angle, and still has a good center frequency resolution performance in the case of environmental noise. At the same time, the system has strong stability, environmental adaptability, easy installation and non-contact detection characteristics, can be used for real-time detection and diagnosis of transformer faults.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%