power transformer monitoring Articles
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Characterisation of power quality disturbances based on wavelet transforms
This paper presents a new technique for detecting and characterising disturbances in power systems based on wavelet transforms. The voltage signal under investigation is often corrupted by noises, therefore the voltage signal is first denoised using wavelet thresholding and then wavelet transform is applied to the denoised signal. Using the first-level detail wavelet coefficients, the voltage ...
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Wavelet feature–based modular neural network for detection and classification of power quality disturbances
Disturbances such as voltage sag, swell, interruption and harmonics are very typical in a power system. Power quality monitoring should be capable of identifying these disturbances to initiate mitigation action and protect sensitive loads. This paper presents wavelet–neural network–based detection and classification of power quality disturbances. Wavelet transform has the ability to analyse ...
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