Pump cavitation inception identification method based on balanced square envelope spectrum
An identification method and envelope spectrum technology are applied in the field of pump cavitation incipient identification based on balanced square envelope spectrum, which can solve the problems of insensitivity to local faults, low resolution, and poor variance performance, and improve signal anti-noise capability. , The effect of simple operation and strong anti-noise ability
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[0043] The balanced squared envelope spectrum mainly uses two statistics, namely kurtosis and autocovariance. Kurtosis is a statistical metric that measures the peak value of a data set and thus can be used to detect fault shocks in signals related to rotating machinery. defined as where Y(t i , f) is obtained by moving a constant length window (Nw) along the signal at time t i The obtained signal x(t i ) short-time Fourier transform. is the operator for averaging. Autocovariance is the calculation of the squared envelope of the signal, defined as Among them, X is the square envelope of the filtered signal, τ=q / f s is the delay factor. Calculating the autocovariance has the benefit of eliminating uncorrelated components of the signal, namely noise and random impulse content, neither of which are related to any particular fault. In addition, the periodic part of the signal is enhanced, so that the signal-to-noise ratio of each demodulated frequency band signal increa...
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