6 results about "Harmonic excitation" patented technology

This invention relates to the field of nonlinear node detection technology, and particularly to a nonlinear electronic node concealment detection system based on S-band harmonic fingerprinting. The system includes: acquiring fundamental and second harmonic echo signals from multiple detection nodes within the detection area in the S-band to ensure a sufficient data source for the entire detection process; constructing harmonic excitation response features and generating a fingerprint database to improve the accuracy and targeting of subsequent node identification; dynamically capturing the node's current characteristic information by transmitting S-band frequency sweep detection signals and collecting echo harmonic components to extract real-time fingerprints, enhancing the timeliness of node detection; identifying matching concealed electronic nodes by performing multi-dimensional time-series correlation matching between real-time harmonic fingerprints and fingerprints in the fingerprint database, effectively filtering out irrelevant interference; and generating a topology map and marking abnormal nodes, enabling users to quickly grasp the overall situation and rapidly locate anomalies.

This invention discloses an electromagnetic coil winding detection system and method, belonging to the field of electromagnetic coil winding technology. It solves the problem in segmented electromagnetic coil windings of high-voltage high-frequency transformers where distributed parameter resonance and high-frequency harmonic coupling generate dynamic interlayer overvoltages, continuously inducing partial discharges, ultimately leading to winding breakdown and short circuits, and the cause of failure is difficult to trace. The system includes a data acquisition module, a data preprocessing module, a resonance feature extraction module, a parameter calculation module, a risk index calculation module, a product-level judgment module, and a batch statistical process control module. This invention collects impedance data of the electromagnetic coil at multiple frequency points and preprocesses it to extract resonance feature parameters. It then calculates the resonance amplification factor and harmonic excitation intensity by combining operating parameters, and further integrates the quality factor and frequency matching degree to generate a comprehensive risk index. Based on this index, the coil is graded, and batch data is statistically controlled to issue process warnings.

This invention provides a transformer loss detection method based on CNN-BiLSTM and SFG, belonging to the field of transformer technology. This invention establishes a finite element simulation model of a converter transformer, including harmonic excitation and DC bias conditions, using the SFG adaptive sparse mesh partitioning algorithm. It generates a training dataset of three-phase voltage and current waveforms and magnetic field loss temperature distribution. A physical constraint model is constructed, integrating a CNN feature extraction layer, a BiLSTM time-dependent layer, and Joule's law constraint terms embedded in Maxwell's equations for heat conduction. The model outputs predicted loss results using real-time acquired measured three-phase voltage and current waveforms as input, and sends adjustment commands to the monitoring system or cooling control system based on the loss difference. This solves the technical problem of difficulty in real-time and accurate detection of the loss state during converter transformer operation.

This disclosure provides a method for manufacturing a rubber roller in a printing system and a printing system thereof. The method for manufacturing the rubber roller in the printing system includes: establishing a finite element analysis model of the rubber roller; determining the natural frequencies and mode shapes of the rubber roller based on the finite element analysis model; performing frequency response analysis based on the natural frequencies to obtain frequency response results under harmonic excitation; using the frequency response results to at least determine weak regions of the rubber roller that do not meet performance conditions; constructing dynamic equations based on the frequency response results and mode shapes, and obtaining the dynamic characteristics of the rubber roller based on the dynamic equations; constructing a topology optimization model and constraints based on the dynamic characteristics; optimizing the parameters of the rubber roller through iterative calculation of the topology optimization model based on the constraints to obtain optimized parameters; and manufacturing the rubber roller according to the optimized parameters.

This invention discloses a vibrating screening device for adjustable coal slurry particle size distribution, relating to the field of coal slurry screening technology. It includes: a segmented screen box, the interior of which is divided into at least two vibration zones along the coal slurry flow direction; a screening component disposed within each vibration zone, the screening component being adjustable in terms of particle size; an excitation system disposed on the segmented screen box, the excitation system being used to apply independently adjustable harmonic excitation to each vibration zone; a feed hopper disposed above the feed end of the segmented screen box; and a microbubble generating component disposed inside the feed hopper, injecting microbubbles into the coal slurry. This invention possesses significant advantages such as multi-zone heterogeneous vibration, stepless orifice adjustment for coal slurry particle size, and microbubble anti-clogging and screen cleaning, significantly improving the separation efficiency of coarse and fine particles and meeting the need for refined adjustment of coal slurry particle size distribution under different working conditions.

The application discloses a kind of based on sideband harmonic excitation's double-unit motor modal parameter identification method, belong to motor field.This method includes selecting the sideband harmonic current of preset frequency as vibration excitation source;Select the maximum speed of sideband harmonic current as test speed;Switching frequency sweep is carried out to double-unit motor to be measured, and the vibration acceleration data of each test point is obtained;Different phase shift angles are used to carry out carrier phase shift processing to sideband harmonic, and the vibration acceleration data of each test point in different order is obtained by repeating test step;Select multiple suspicious resonance points from vibration acceleration data;According to corresponding vibration acceleration data, mode shape analysis is carried out, and the spatial mode shape, vibration order and natural frequency of real resonance point are confirmed;According to real resonance point, frequency response function is constructed, and the modal parameter of double-unit motor to be measured is extracted from it.The modal parameter identification of low cost, high excitation energy and wide frequency range is realized.