7 results about "Deviation matrix" patented technology

The invention provides a tool changing dynamic real-time compensation method and system for an external tool magazine, and the method comprises the steps: setting a tool magazine reference group, enabling a probe of a machine tool to measure the tool magazine reference group, and building an initial transformation matrix of a tool magazine coordinate system and a machine tool coordinate system; receiving a tool changing instruction, enabling a probe of the machine tool to measure a reference hole and a reference end face of the tool magazine reference group, establishing an actual transformation matrix of a tool magazine coordinate system and a machine tool coordinate system, and calculating the actual transformation matrix and the initial transformation matrix as a deviation matrix of dynamic offset; generating a compensation displacement and a compensation instruction; a shaft of the machine tool is made to move according to the compensation instruction, and compensated coordinate parameters are obtained; and tool changing is executed according to the compensated coordinate parameters. The tool changing fault is avoided through preventive compensation, the maintenance cost and shutdown loss are reduced, and remarkable protectiveness and economical efficiency are achieved.

The application belongs to the technical field of underwater acoustic array signal processing, and discloses a covariance fitting azimuth estimation method under non-Euclidean metric based on matrix reconstruction, which constructs a noise standard deviation matrix, judges the noise type, extracts the heteroscedastic characteristic from the noise standard deviation matrix, uses the extracted noise power to whiten the array received signal, calculates a sample covariance matrix SCM, reconstructs a model covariance matrix MCM matched with the whitening processing, uses the symmetric Kullback-Leibler divergence as the non-Euclidean metric to calculate the difference between the SCM and the MCM, and realizes the DOA estimation by traversing the azimuth grid points and minimizing the symmetric Kullback-Leibler divergence. The application uses the symmetric SKL divergence to solve the matrix-matrix comparison problem, and focuses on the low SNR condition. The more complete modeling of the noise interference parameter can reduce the DOA estimation failure threshold by about 20 dB.

The invention discloses an electric power system missing data reconstruction method and system based on physical deviation correction. The method comprises the following steps: acquiring original electric power system data; generating a compliance sample corresponding to the original power system data according to the power flow physical constraint equation; constructing a physical observer based on a radial basis function neural network, and training the physical observer by applying the compliance sample to output a physical compliance threshold value; obtaining a physical deviation matrix between the target missing data and the physical reasonable threshold, taking the physical deviation matrix and the original power system data as the input of the generative adversarial network, and outputting the probability value of the reconstructed power system data; and carrying out joint training on the physical observer and the generative adversarial network until the physical deviation matrix meets an error standard, and obtaining reconstructed power system data by applying the trained physical observer and generative adversarial network. According to the invention, high-quality complete data guarantee is provided for subsequent power dispatching, load prediction and other applications.

The invention provides a cold heading part size online detection and self-adaptive compensation method based on machine vision, and the method comprises the steps: collecting multi-dimensional size detection data, constructing a deviation matrix with a time sequence characteristic, employing sliding window slicing and multi-feature extraction, achieving the intelligent classification of a deviation mode, and tracking an evolution path. According to the method, unsupervised clustering, graph structure analysis and a graph attention mechanism are integrated, deviation state intelligent recognition, trend prediction and compensation strategy self-optimization are achieved, and the method has the advantages of being high in accuracy, high in accuracy and high in precision. The method can effectively improve the size stability and defect response capability of the cold heading part in the production process, and has high real-time performance and generalization adaptability.

The invention relates to the technical field of digital twinning, and discloses a 3D chip design simulation modeling method and system based on the twinning technology, and the method comprises the steps: obtaining physical field simulation data, carrying out the feature fusion of thermal stress and thermoelectric coupling through solving a thermal expansion vector field, and obtaining a preliminary mapping relation; according to the preliminary mapping relation, nonlinear cumulative effect calculation of the dynamic power consumption density is carried out, and a final cumulative effect value is obtained; according to the final cumulative effect value, adjusting an interconnection material, and correcting an index set; according to the correction index set, deviation quantitative calculation is carried out through heat flow evolution path analysis, and a thermal resistance degradation deviation matrix is obtained; according to the thermal resistance degradation deviation matrix, Pareto front inflection point extraction is carried out, and balance configuration is obtained; according to the balance configuration, non-dominated declusters meeting a preset critical power consumption threshold value are screened out, and candidate declusters are obtained; and according to the candidate declusters, screening out the optimal configuration, and outputting a final optimization scheme. The method can reduce the abrupt change risk of the chip degradation rate.

The invention belongs to the technical field of underwater acoustic array signal processing, and discloses a non-European metric covariance fitting orientation estimation method based on matrix reconstruction, and the method comprises the steps: constructing a noise standard deviation matrix, and judging the type of noise; extracting heterovariance characteristics from the noise standard deviation matrix; whitening an array receiving signal by using the extracted noise power, and calculating a sample covariance matrix SCM; a model covariance matrix MCM matched with the whitening processing is reconstructed; a symmetric Kullback-Leibler divergence is used as a non-Euclidean measure, and the difference between the SCM and the MCM is calculated; and the DOA estimation is realized by traversing the azimuth grid points and minimizing the symmetric Kullback-Leibler divergence. According to the method, the problem of matrix-matrix comparison is solved by applying symmetric SKL divergence, the situation of low SNR is concerned, and the DOA estimation failure threshold can be reduced by about 20dB through more complete modeling of noise interference parameters.

The invention discloses a main-standby difference comparison method and device for an industrial system, terminal equipment and a storage medium, and belongs to the field of industrial data processing, and the method comprises the steps: obtaining the operation data of main equipment and standby equipment of a to-be-tested industrial system; determining a first weight distribution matrix according to the operation data; based on the first weight distribution matrix, performing weighted deviation calculation on the operation data to obtain an element service duration deviation matrix; determining a second weight distribution matrix according to the operation data; weighting the operation data based on the second weight distribution matrix to obtain an element maintenance fault deviation matrix; and comparing the element service time length deviation matrix with the element maintenance fault deviation matrix to obtain a difference comparison result between the master device and the slave device, so that the problem that control disturbance after switching of the master device and the slave device cannot be sensed in advance in the prior art can be solved.