5 results about "Krylov subspace" patented technology

The application relates to the technical field of power electronics, and discloses a press-contact type IGBT device packaging structure optimization method and system. The method comprises the following steps: constructing an equivalent model of a press-contact type IGBT device; constructing a differential algebraic equation for uniformly describing the equivalent model of the press-contact type IGBT device and circuit port variables; converting the differential algebraic equation into a nonlinear algebraic equation group through time domain discretization, and constructing an iteration matrix with a global state vector as a derivation object according to a solving mode of the nonlinear algebraic equation group; performing low-dimensional subspace projection on the iteration matrix based on a Krylov subspace, and combining residual minimization to solve a linear subproblem of the iteration matrix, so that current uniformity characteristic results of the press-contact type IGBT device are obtained; and the packaging structure of the press-contact type IGBT device is optimized based on current density distribution reflected by the current uniformity characteristic results. The application can improve the current uniformity and operation reliability of the system.

This invention discloses a method and apparatus for intelligent task navigation and multi-dimensional collaborative management, applicable to the optimization and execution control of complex workflows, such as hospital information systems and intelligent systems. The method achieves personalized task generation, multi-role collaborative task allocation, and dynamic monitoring and optimization in complex scenarios by constructing a multi-level knowledge graph, applying the fully discrete finite element method, the nonlinear GCR-type Krylov subspace method, and the unfitted Green's function method.

This invention discloses a deep learning-based engine condition monitoring method, comprising the following steps: collecting multi-source sensor data and corresponding speed data during engine operation; preprocessing the original multi-source data to obtain preprocessed multi-source data; performing condition-locked resampling to obtain a set of window sequences; constructing a Krylov subspace and performing orthogonalization to obtain an orthogonal basis for the subspace; performing Krylov subspace change point and state transition detection to obtain the current monitoring state; generating a subspace fingerprint and selecting a deep learning monitoring branch based on the subspace fingerprint routing structure to obtain a health index and anomaly score; writing the health index and anomaly score into a candidate alarm queue, switching the current monitoring state, and outputting alarm results based on the candidate alarm queue. This invention improves the accuracy of engine condition monitoring by combining condition-locked resampling with Krylov subspace change point detection.

This invention discloses a method, apparatus, and medium for solving variable quantum linear problems in subspaces. The method includes: determining the system of linear equations to be solved, constructing a variable quantum circuit and a Krylov subspace, and using the generalized minimum residual method and the variable quantum circuit to calculate an approximate solution of the system of linear equations to be solved in the subspace. This addresses the shortcomings of existing technologies and can reduce the time complexity and computational load of solving linear problems.

This invention relates to a radio frequency (RF) simulation method, apparatus, computer device, storage medium, and program product. The RF simulation method includes: constructing a first Krylov subspace based on a first scanning frequency; generating a second Krylov subspace corresponding to a second scanning frequency by multiplexing vectors in the first Krylov subspace; and obtaining the circuit response when the scanning frequency is the second scanning frequency based on the second Krylov subspace. This invention can improve the calculation speed and simulation efficiency of RF simulation.