Feature extraction method of transformer vibration based on ensemble empirical mode decomposition subband

التفاصيل البيبلوغرافية
العنوان: Feature extraction method of transformer vibration based on ensemble empirical mode decomposition subband
المؤلفون: Wenmin Zhang, Wenqi Xu, Fanhao Xu, Hongshan Zhao
المصدر: 2016 IEEE International Conference on Power System Technology (POWERCON).
بيانات النشر: IEEE, 2016.
سنة النشر: 2016
مصطلحات موضوعية: 0209 industrial biotechnology, Engineering, business.industry, Feature extraction, 0211 other engineering and technologies, 02 engineering and technology, Mutual information, Hilbert–Huang transform, law.invention, Vibration, 020901 industrial engineering & automation, law, Electromagnetic coil, 021105 building & construction, Singular value decomposition, Electronic engineering, Demodulation, Transformer, business, Algorithm
الوصف: To extract the abnormal features of transformer in the early stage, the envelope demodulation method based on ensemble empirical mode decomposition (EEMD) and mutual information criterion was proposed. Firstly, the transformer vibration signal is decomposed into several intrinsic mode functions (IMFs) by the EEMD method. Then the singular value decomposition (SVD) is used to estimate the number of vibration source and mutual information criterion is performed to select the IMFs. Finally, extract the vibration features of the transformer through envelope demodulation of the IMFs. The method has good adaptability and can extract the weak vibration signal. And the validity of the method is verified by analyzing the measured transformer vibration signal.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::876b3039d3183b8fb1e07335256b0c88Test
https://doi.org/10.1109/powercon.2016.7753852Test
رقم الانضمام: edsair.doi...........876b3039d3183b8fb1e07335256b0c88
قاعدة البيانات: OpenAIRE