12 results about "Complex filter" patented technology

The embodiment of the application provides a direct current offset correction method and a correction system, the method comprising: obtaining a first direct current output offset voltage of a complex filter to be corrected; determining a relationship between a direct current input voltage and the direct current output offset voltage under an ideal filter based on a preset virtual ground characteristic of an operational amplifier, according to an input current of an input point of the operational amplifier and a preset resistance of the complex filter; determining a to-be-corrected current according to the relationship between the direct current input voltage and the direct current output offset voltage under the ideal filter and the first direct current output offset voltage, and working under a normal working condition by using the to-be-corrected current; and based on the preset virtual ground characteristic of the operational amplifier, performing one or more iteration calculations on the input current of the input point of the operational amplifier, the preset resistance of the complex filter and the to-be-corrected current, so that a second direct current offset voltage is a preset value, the IQ structure of the complex filter is not damaged, and the I / Q two paths can be simultaneously corrected, and one-step correction is completed.

The application discloses a kind of membrane preparation waste liquid recovery processing equipment, it is related to membrane preparation wastewater treatment technology, including processing box body, and the liquid discharge notch being opened in the right side upper portion of processing box body;Further include: the left side upper portion of processing box body is provided with initial filter component, and initial filter component contains initial filter box body, and the liquid outlet notch being opened in the right side upper portion of initial filter box body is correspondingly distributed in the left side upper portion of processing box body;Wherein, the right side outer wall of initial filter box body is rotatably provided with follow-up guide pulley by bearing, and follow-up guide pulley is arranged below liquid outlet notch;The inside of processing box body is provided with impurity removal component, and impurity removal component contains filter screen plate.This membrane preparation waste liquid recovery processing equipment, by initial filter box body to waste liquid precipitation, and discharge to processing box body inside carries out filtration treatment, and push the sundries in waste liquid to processing box body outside, avoid causing blockage at the same time, complex filter component carries out depth filtration, and then realize the recovery processing of membrane preparation waste liquid.

The present application belongs to the technical field of intelligent state evaluation of generator set operation, and discloses a natural gas generator set operation intelligent state evaluation method and system, which comprises the following steps: obtaining multi-physical field operation data, reconstructing the multi-physical field operation data based on different time scales to obtain a physical perception state point cloud set; performing complex filtering on each time scale point cloud, and performing multi-scale unit operation state topology evolution analysis on the filtered complex sequence; inputting the topology feature vectors into a topology random forest model for training, and performing joint reasoning to output a fault mode posterior distribution; calculating a unit health index, and combining the unit health index with a dynamic early warning threshold to realize natural gas generator set operation state evaluation. The present application can deeply mine the dynamic evolution law of different physical processes such as combustion, machinery, heat and degradation, and effectively capture early weak faults and multi-field coupling abnormalities that are difficult to identify by traditional methods.

The utility model relates to sewage treatment technical field, concretely is a kind of sedimentation tank with anti-blocking function, it includes pool body and central tube, the position of central tube near bottom is equipped with aeration unit, the aeration unit includes aeration assembly and aeration pipe, aeration pipe is arranged between aeration assembly and central tube, and the aeration gas stream released when aeration assembly periodic operation enters central tube to carry out water flow disturbance by aeration pipe;That is, the disturbance water flow formed by aeration gas stream in central tube solves the problem of central tube blockage, without manual cleaning, without setting complex filter device, in addition, the aeration unit of the scheme only as auxiliary flushing unit periodic operation, therefore, the influence to the sedimentation environment of sedimentation tank is less;Visible, the sedimentation tank of the structure of the scheme has the advantages such as high operating efficiency and long service life, and maintenance cost is also reduced and operation process is simplified, has wide application prospect and economic benefits.

This invention belongs to the field of intelligent status assessment technology for generator sets, and discloses a method and system for intelligent status assessment of natural gas generator sets. The method includes: acquiring multi-physics field operation data; reconstructing the phase space of the multi-physics field operation data based on different time scales to obtain a set of physically perceived state point clouds; performing complex filtering on the point clouds at each time scale, and conducting multi-scale topological evolution analysis of the filtered complex sequences; inputting the topological feature vectors into a topological random forest model for training, and performing joint inference to output the posterior distribution of fault modes; calculating a generator set health index, and combining the generator set health index with a dynamic early warning threshold to achieve the assessment of the operating status of the natural gas generator set. This invention can deeply explore the dynamic evolution laws of different physical processes such as combustion, mechanical, thermal, and degradation, and effectively capture early weak faults and multi-field coupling anomalies that are difficult to identify using traditional methods.

This invention discloses an automatic detection and classification method and system for micro-defects in OLED displays, relating to the field of display panel quality inspection technology. The method includes acquiring OLED display images and preprocessing them; modeling pixel responses based on the preprocessed images and generating an ideal background image; performing differential processing and multi-scale residual feature enhancement to obtain an enhanced residual image; segmenting the enhanced residual image to extract a set of candidate defect regions and extracting global features; based on the set of candidate defect regions, performing frequency domain enhancement on the global features using a local frequency domain prior-guided complex filter to obtain enhanced global context features; based on the enhanced global context features, using a meta-learning mechanism to obtain new screen type adaptation parameters for defect category probability prediction; and performing uncertainty estimation based on the defect category probability prediction results. This invention enables more accurate, flexible, and reliable OLED display defect detection and classification.

The application discloses a power grid harmonic suppression method and a composite filter, performs harmonic coupling characteristic analysis on power grid multi-source operation data, constructs a harmonic coupling characteristic spectrum and determines a passive compensation interval, introduces a mistuning polarity correction to dynamically correct the boundary, and identifies the compensation competition relationship of the active and passive in the overlapping frequency band; performs rolling harmonic prediction on the compensation division graph, extracts dominant order migration characteristics and maps them to the response time delay of each branch, generates layered compensation activation parameter groups through continuous conflict identification and activation sorting; detects the current zero-crossing point of the preferentially activated branch and generates a switching time window through time sequence misplacement allocation, and combines the predicted residual feedback and the branch adjustable margin to output a composite filter coordination control instruction. The application realizes dynamic coordination of active and passive compensation frequency band division and fine alignment of switching time sequence, and improves the control accuracy and stability of collaborative compensation under dynamic working conditions.

This invention relates to the field of cigarette production equipment technology. To address the technical problems of complex filter rod composite equipment changes, easy bursting of hot melt adhesive, and insufficient cold glue bonding strength, this invention provides a multi-component composite filter rod forming machine and a method for preparing multi-component composite filter rods. The forming machine includes a feeding and cutting device, a disc conveying device, a gap elimination device, a rolling and forming device, a detection device, and a smoke outlet device, as well as an electrical control system. It adopts a modular design, resulting in a simple and compact structure with a small footprint. It can adapt to various specifications of filter rod base rods and allows for easy specification changes. The forming paper overlap adhesive uses cold glue and soldering iron drying methods, and the internal bonding line adhesive uses two layers of cold glue application. The finished composite filter rod is less prone to bursting, significantly improving its shelf life.

The application provides a wide-frequency oscillation component detection method and system based on a cascade high-order complex filter, and belongs to the technical field of novel power system wide-frequency oscillation component detection. The method comprises the following steps: a plurality of high-order decoupled complex filters are cascaded to form a cascade high-order decoupled complex filter, and a frequency-locked loop is arranged in each high-order decoupled complex filter; the input of the cascade high-order decoupled complex filter is an alpha-beta voltage component, and the wide-frequency oscillation component including a fundamental component and a plurality of resonance components is detected through the cascade high-order decoupled complex filter; the input of each intermediate high-order decoupled complex filter is the fundamental component or the resonance component output by the high-order decoupled complex filter at the previous stage and a voltage error signal; and the high-order decoupled complex filter is formed by cascading a plurality of first-order decoupled complex filters. The application can eliminate the influence of unknown frequency on the detection of the fundamental component, accurately detect the fundamental component, and simultaneously realize the detection of a plurality of resonance components and their resonance frequencies.

The application relates to the technical field of semiconductor manufacturing, and discloses a wafer defect detection method, a wafer defect detection device and a medium. The method comprises the following steps: performing image processing on a target wafer image of a wafer object to be detected to obtain a plurality of local spectrum regions; performing complex filtering processing on the local spectrum regions in a plurality of scales and a plurality of directions to obtain response information of each local spectrum region under different scales and different directions; determining a phase consistency residual graph, a frequency band leakage residual graph and a direction offset residual graph based on phase responses and energy responses in the response information, a pre-constructed spectrum phase reference field, a main frequency band and a main direction; performing multi-scale residual back projection processing on the target wafer image to obtain a multi-scale residual back projection graph; generating a defect saliency graph based on any one or several of the phase consistency residual graph, the frequency band leakage residual graph, the direction offset residual graph and the multi-scale residual back projection graph; and performing defect detection based on the defect saliency graph to obtain a target detection result.

The application discloses a motor control method and device, a compressor and a storage medium, wherein the method comprises the following steps: obtaining a d-axis flux linkage observation value and a q-axis flux linkage observation value; filtering out harmonics of the d-axis flux linkage observation value and the q-axis flux linkage observation value respectively based on a first complex filter set to obtain a d-axis flux linkage and a q-axis flux linkage; obtaining an observed angular velocity and an observed angle of the motor according to the d-axis flux linkage and the q-axis flux linkage; performing non-static error following on the observed angle of the motor based on a second complex filter set to obtain a current angle of the motor, and obtaining a current angular velocity of the motor according to the current angle of the motor; and controlling the motor according to the current angle of the motor and the current angular velocity of the motor. Thus, harmful harmonics in the observed flux linkage are filtered out, and a non-static error following is performed on a one-frequency fluctuation component of the compressor speed and the position angle signal except for a direct current component, so that the stability requirement and the accuracy requirement of the position observer when driving a high-pole-number and low-lamination-thickness compressor are met.

The application discloses a speech enhancement method and device based on energy spectrum depth modulation and a medium, relates to the technical field of speech signal enhancement, and comprises the following steps: constructing a frequency-time joint enhancement network and training the same, inputting a continuous enhancement condition tensor into the trained frequency-time joint enhancement network, combining a local refinement branch to perform recursion, and outputting a complex enhancement mask sequence and a depth filter coefficient sequence; based on the depth filter coefficient sequence and the complex enhancement mask sequence, performing complex weighting and multi-tap complex filtering on a complex short-time frequency spectrum sequence to generate a candidate enhanced frequency spectrum sequence, and through buffer locking and residual suppression, generating a consistent enhanced frequency spectrum sequence; and performing waveform reconstruction and steady-state constraint on the consistent enhanced frequency spectrum sequence to generate a steady-state enhanced speech sequence. The application achieves the effect of giving consideration to the enhancement continuity and local detail fidelity.