8 results about "Deconvolution filter" patented technology

A rolling bearing fault feature extraction method based on variable scale multipoint kurtosis deconvolution comprises the following steps: a, sampling a rolling bearing vibration acceleration signal to obtain a rolling bearing fault vibration signal; b, constructing a toeplitz autocorrelation matrix; c, constructing a variable-scale multipoint kurtosis deconvolution filter; d, filtering the rolling bearing fault vibration signal by using an optimal deconvolution filter to obtain a fault impact signal; e, performing envelope demodulation processing on the fault impact signal, extracting an envelope of the fault impact signal, and obtaining an envelope spectrum through spectral analysis; and f, judging the fault type of the rolling bearing according to the envelope spectrum. According to the method, the optimal target vector of the deconvolution is searched by constructing the variable-scale multipoint kurtosis index, the optimal filter is constructed, the fault impact signal is extracted through the deconvolution, the fault impact signal is subjected to envelope analysis, the fault feature frequency of the rolling bearing is extracted, and the fault feature of the rolling bearing can be accurately extracted.

The invention relates to the technical field of nondestructive testing, in particular to a copper bar coating lower substrate defect nondestructive testing device based on terahertz waves, which comprises a terahertz scanning acquisition module used for controlling a transmitting and receiving unit to perform two-dimensional scanning so as to acquire an original waveform; the flight time dynamic correction module is used for resolving the local coating thickness and carrying out dynamic time axis alignment; the substrate roughness deconvolution module is used for calling the reference model to carry out deconvolution filtering so as to strip background scattering noise; the interface dielectric feature analysis module is used for extracting a dielectric feature vector reflecting an interface dielectric constant mutation state; the defect risk assessment imaging module is used for constructing a three-dimensional chromatography map and outputting a detection result; according to the method, the physical characteristic decoupling of the signal source is realized, the coating thickness fluctuation and the real defect are effectively distinguished, the misjudgment rate is obviously reduced, and the evaluation accuracy is ensured.

Systems and methods are disclosed. The method includes, for each of a plurality of spatial partial differential equations (sPDEs) within a wave equation, determining a linear system of equations using an approximate solution at a plurality of grid nodes. The linear system of equations includes an inverse matrix, a first vector, and a second vector. The method further includes, for each of the plurality of sPDEs, evaluating the inverse matrix by evaluating a first portion of the inverse matrix using a first deconvolution filter and evaluating a second portion of the inverse matrix using a second deconvolution filter. The method further still includes, for each of the plurality of sPDEs, evaluating the first vector using the evaluated inverse matrix and the second vector as well as determining the wavefield using the evaluated first vector for each of the plurality of sPDEs, a velocity model, and the wave equation.

This disclose relates to a robust method for automatic real-time monitoring or post-job evaluation of hydraulic fracturing operations based on predictive deconvolution of the wellhead pressure oscillations. Described are a method and system for determining depth of wellbore reflectors, implemented by performing a wellbore operation producing a pressure wave and its reflections from the wellbore reflectors; registering a pressure wave and its reflections; preprocessing the registered pressure wave and its reflections with a bandwidth filter; transforming the registered pressure wave and its reflections from the frequency domain into time-frequency representation with Short Time Fourier Transform (STFT); applying of a predictive deconvolution filter to STFT representation; identifying of a reflected signal on a plot in coordinates “reflection time—physical time” and determining the reflection time for the signal reflected from the wellbore reflector; determining the depth of wellbore reflector by multiplying the reflection time by pressure wave speed.

A dielectric microscopic observation is possible, which suppresses image flow regardless of scanning speed. There are provided a sample chamber 120 holding a sample 200 between a first insulating layer 121 on which a conductive layer 211 to be irradiated with a charged particle beam is laminated and a second insulating layer 122, an amplifier 141 that amplifies a potential change that occurs at an interface between the first insulating layer and the sample as the conductive layer is irradiated with the charged particle beam, and outputs the amplified result as a measurement signal, a main control unit 142 that converts the measurement signal from the amplifier into image data, and corrects the image data with a deconvolution filter 302 to generate corrected image data, a display unit 144 including an observation image display unit 501 and a filter adjustment unit 502 that displays setting information of the deconvolution filter, and an information processing device that displays the corrected image data on the observation image display unit, and when the setting information of the deconvolution filter displayed in the filter adjustment unit is changed, adjusts the deconvolution filter according to the changed setting information.

A method for deblurring distortion-corrected images, includes: obtaining a video-see-through (VST) image of a real-world environment; determining a given region of the VST image, based on at least one of: a distortion profile of a camera lens of at least one VST camera, blur characteristics of the camera lens, a scaling ratio between a resolution of the at least one VST camera and a resolution of a display whereat the VST image is to be displayed; and performing an undistortion deblurring operation on the given region of the VST image, by utilising at least one of: (i) a deblurring deconvolution filter, (ii) at least one neural network, based on locations of pixels of the given region, to generate an output image.

The invention discloses a gear fault diagnosis method and system based on maximum CGGI deconvolution filtering, and relates to the technical field of mechanical fault diagnosis, and the method comprises the steps: collecting a vibration signal of a gear transmission system; performing generalized envelope spectrum transformation on the vibration signal to obtain multiple groups of generalized envelope spectrums, constructing a weight coefficient based on Gini indexes corresponding to the generalized envelope spectrums, and performing weighted summation on the multiple groups of generalized envelope spectrums to obtain a generalized weighted envelope spectrum; calculating a generalized Gini index based on the generalized weighted envelope spectrum, and rewriting the generalized Gini index into a cyclic embedding generalized Gini index based on a cyclic embedding sparsity measurement method; and taking the maximized cyclic embedding generalized Gini index as an objective function of blind deconvolution filtering, solving a filter coefficient by adopting a feature vector algorithm, performing deconvolution on the vibration signal, and outputting an optimal deconvolution filtering signal. The stability and consistency of a deconvolution result are improved, and a clearer feature expression basis is provided for gear fault recognition.

The application provides a controllable source related pre-subwave sidelobe suppression method and system, and belongs to the field of seismic data processing.The method obtains an ideal pulse signal according to the starting frequency and the ending frequency of a source scanning signal, obtains a deconvolution filter by using the source scanning signal and the ideal pulse signal, and obtains a cross-correlation record after subwave sidelobe suppression by using the deconvolution filter.The application improves the influence of the related subwave sidelobe by designing a deconvolution operator and performing deconvolution processing on the related pre-recordings.The test result shows that the precision is high and the effect is good after the seismic data is processed by using the method of the application, and the application can be used in the processing of the controllable source related pre-seismic record and can suppress the related subwave sidelobe.