6results about How to "Prevent Waveform Distortion" patented technology

The invention discloses a unipolar and bipolar pulse generating device for electric field ablation and a control method, and relates to the technical field of electric field ablation. The unipolar and bipolar pulse generating device comprises a high-voltage charging module, a half-bridge series pulse generating module and a driving control module; the high-voltage charging module provides high-voltage electric energy for the half-bridge series pulse generation module; the driving control module is connected with the half-bridge series pulse generation module and is used for controlling the on-off of a switch of the half-bridge series pulse generation module; one end of the load matching and protection module is connected with the half-bridge series pulse generation module, and the other end is connected with a load to realize pulse matching transmission and safety protection. The technical scheme that unipolar and bipolar can be freely switched is adopted, dual optimization of the ablation effect and operation safety is achieved, ablation pretreatment is conducted in a bipolar mode, and an ablation blind area caused by the single unipolar electric field direction is eliminated through alternate positive and negative pulses.

The application discloses a high-voltage wide pulse modulation ms-level coordination control method and system based on a microwave power supply system, and belongs to the technical field of power electronics, and comprises the following steps: step 1, obtaining the instantaneous amplitude fluctuation of a high-voltage pulse to generate an amplitude deviation sequence; step 2, calculating a local slope change rate according to the amplitude deviation sequence to generate a phase lag trend; step 3, constructing a compensation operator based on the phase lag trend to predict an amplitude attenuation time point sequence; step 4, converting the amplitude attenuation time point sequence into a pulse width modulation signal and performing signal injection; and step 5, adjusting the parameter weight of the compensation operator according to the actual modulation effect of the signal injection and correcting the prediction deviation by using an error integration mechanism. The application can effectively solve the industry pain points of difficult capture of high-voltage pulse front overshoot and difficult quantification of amplitude fluctuation, greatly improves the original data precision of the pulse signal, and controls the instantaneous fluctuation of the pulse amplitude in a very small range.

The application discloses a hard rock explosion test system and method under deep geostress environment, and belongs to the technical field of rock blasting optimization design. The system comprises a geostress hydraulic loading module, a sample bearing module, a blasting occurrence module, a non-contact optical measurement module and an automatic triggering device. The method comprises the following steps: processing a sample, assembling the system, laying out a blasting structure, processing the surface of the sample, loading geostress, preparing for measurement, performing explosion test and processing data. The system and method solve the blank of a large-size and large-equivalent blasting test platform and analysis means under deep in-situ geostress. A digital image correlation analysis system with parallel and efficient calculation is constructed, and explosion pressure field can be quickly inverted.

The application discloses a magnetron detection circuit and a magnetron detection equipment applying the same, and relates to the technical field of magnetron detection equipment.The circuit comprises a voltage stabilizer T1, a first voltage regulator T2, a second voltage regulator T3, an isolation transformer T4, a high-voltage transformer T5, a rectifier DQ1, a resistance adjustment group, a third voltage regulator T6 and a filament transformer T7.The first voltage regulator and the second voltage regulator are arranged in the front stage of the high-voltage transformer to respectively perform voltage coarse adjustment and fine adjustment, the resistance adjustment group is arranged in the rear stage of the high-voltage transformer to perform internal resistance adjustment, and the high-voltage end of a high-pass filter is connected to a common connection point of the filament transformer and the magnetron, so that the magnetron anode current is quickly, accurately and distortionlessly adjusted.The application overcomes the problems of experience-dependent manual adjustment, slow adjustment speed and waveform distortion caused by triode adjustment, and significantly improves the accuracy and repeatability of magnetron performance detection.

The embodiment of the application relates to the technical field of laser radar, and discloses a centroid extraction method, a laser radar, a robot and a storage medium, the centroid extraction method first acquires an original echo signal curve output after a target object is detected by the laser radar, divides the original echo signal curve into N continuous signal segment curves, determines an asymmetric Gaussian convolution kernel matched with each signal segment curve, then performs convolution operation on the asymmetric Gaussian convolution kernel and original energy values in the signal segment curve to obtain first target energy values corresponding to the signal segment curve, and the same is repeated until M first target energy values are obtained, and finally a centroid is extracted according to the M first target energy values and corresponding pixel positions. The method adopts the asymmetric Gaussian convolution kernel to perform the convolution operation, accurately fits local shapes of signals, differentiates and matches the asymmetric Gaussian convolution kernel, improves the accuracy of centroid extraction, and further improves the ranging accuracy of the laser radar.

The invention relates to the field of data processing, in particular to a data set construction method and system based on big data. The method comprises the following steps: constructing an initial data set containing normal samples and fault samples; decomposing a time sequence in the initial data set to obtain a plurality of frequency band sequences, and extracting time-frequency domain features; calculating the frequency band sensitivity degree of the fault sample and the normal sample on each frequency band based on the time-frequency domain characteristics; constructing an incidence matrix, and combining the frequency band sensitivity degree and the incidence matrix to calculate a frequency band comprehensive weight; constructing a conditional generative adversarial network, constructing a loss function of a generator by using the frequency band comprehensive weight, and training the conditional generative adversarial network based on the loss function; and generating a synthetic frequency band sequence by using the trained conditional generative adversarial network, performing inverse transformation reconstruction on the synthetic frequency band sequence to obtain a synthetic sample, and mixing the synthetic sample with a fault sample in the initial data set to construct an enhanced data set. The method and the device have the effect of improving the prediction accuracy of the LSTM model by using the enhanced data.