Recognition of Underlying Causes of Power Quality Disturbances Using Stockwell Transform
IEEE Transactions on Instrumentation and Measurement（2020）
Abstract
This paper presents an effective and intelligent methodology for the recognition of several underlying causes responsible for power quality (PQ) disturbances. The disturbance signals at a 40-dB signal-to-noise ratio (SNR) from various locations of the power distribution system have been analyzed with computationally efficient Stockwell transform (ST). Besides the residual voltage and the duration,...
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Key words
Microsoft Windows,Time-frequency analysis,Standards,Feature extraction,Discrete Fourier transforms,Power quality
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