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39results about How to "Suppress noise components" patented technology

Bearing fault early warning and diagnosis method based on improved MSET and spectrum characteristics

The invention discloses a bearing fault early warning and diagnosis method based on improved MSET and frequency spectrum characteristics. The method comprises the following steps: obtaining an original vibration signal; obtaining a fault characteristic frequency, and determining an actual frequency range according to the variable quantity of the fault characteristic frequency; carrying out envelope spectrum analysis: filtering the original vibration signal by using a fast spectrum kurtosis and band-pass filtering method, analyzing the filtered vibration signal to obtain an envelope spectrum, and further obtaining monitoring parameters; carrying out improved MSET modeling: establishing a historical memory matrix, establishing an MSET model by using the obtained historical memory matrix, and calculating an estimation vector of a vibration signal obtained in real time and a residual error of each monitoring parameter; carrying out fault early warning: constructing a similarity model by using the overall deviation degree and the residual deviation degree, calculating a similarity value of a historical memory matrix, constructing a monitoring threshold value, and performing fault early warning decision making; and carrying out fault diagnosis: constructing a fault contribution rate model by using the residual contribution degree and the frequency amplitude contribution degree for the signal after the early warning is sent out, and diagnosing the fault part of the bearing.
Owner:BEIHANG UNIV

Method for noise abatement of LFM underwater sound multi-path signals

The invention belongs to the field of signal processing, and particularly relates to a method for noise abatement of LFM underwater sound multi-path signals. The method includes the steps that an optimal transformation order popt on which optimal fractional Fourier transformation is conducted is acquired according to deterministic signal parameters; band-pass filtering preprocessing is conducted on the LFM multi-path signals, and out-of-band noise is abated; Hilbert transformation is conducted on band-pass filtering output signals, and then analytic signals are acquired; popt and fractional Fourier transformation is conducted on the analytic signals; frequency spectrum shielding and isolating processing is conducted on a fractional Fourier domain, and in-band noise is abated; -popt and fractional Fourier inverse transformation is conducted, and then high-signal-to-noise-ratio multi-path signals with the abated noise are acquired. The method is mainly achieved through the FFT algorithm, the calculated amount is small, and project real-time implementation can be achieved. Signal processing is not disturbed by cross terms due to FrFT linear transformation characteristics, so that the method is especially suitable for processing the multi-path or multi-component LFM signals.
Owner:HARBIN ENG UNIV

Noise reduction method for ultrasonic detection signal of metal internal defect

The invention discloses a noise reduction method for ultrasonic detection signals of metal internal defects, and relates to the technical field of ultrasonic nondestructive detection. According to the method, the technical problem that an existing noise reduction method for ultrasonic detection signals does not depend on a self forming mechanism is solved; according to the technical scheme, the idea of hierarchical threshold processing is introduced into a CEEMDAN algorithm, thereby providing the threshold noise reduction method for the ultrasonic detection signal based on the CEEMDAN algorithm and the spatial correlation; the problem that a traditional noise reduction method is separated from an ultrasonic detection signal forming mechanism is solved, and the method has higher adaptability, effectiveness and stability. meanwhile, the spatial correlation coefficient of the ultrasonic detection signal subjected to threshold value processing is set as a reconstruction coefficient of each mode, the mechanism that defect echo spatial correlation is high and noise component spatial correlation is low is fully utilized, echo signals in ultrasonic detection signals are reserved, noise components are inhibited, and an ideal noise reduction effect is obtained.
Owner:SOUTHEAST UNIV
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