Multi-physics field multi-parameter inversion method for electric power equipment
A power equipment and multi-physics technology, applied in data processing applications, special data processing applications, constraint-based CAD, etc., can solve problems such as unsatisfactory detection results, achieve accurate evaluation, and increase the effect of coupling relationships
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Embodiment 1
[0046] refer to Figure 1 ~ Figure 3 , which is the first embodiment of the present invention, this embodiment provides a multi-physics multi-parameter inversion method for power equipment, including:
[0047] S1: Based on the finite volume strategy, establish a coupling calculation model for power equipment, and perform coupling calculations for the multi-physics fields of power equipment.
[0048] It should be noted that the finite volume method (Finite Volume Method) is also called the Control Volume Method (Control Volume Method), and its basic idea is: divide the calculation area into grids, and make each grid point surrounded by an interactive Non-repetitive control volume; integrate the differential equation (control equation) to be solved for each control volume to obtain a set of discrete equations; the unknowns are dependent variables on the grid points; in order to obtain the integral of the control volume , it must be assumed that the value of the dependent variable...
Embodiment 2
[0088] In order to verify and explain the technical effect adopted in this method, this embodiment chooses the AR power equipment fault identification method and adopts this method to conduct a comparative test, and compares the test results by means of scientific demonstration to verify the real effect of this method.
[0089] The operation steps of the AR power equipment fault identification method are complicated, and it is difficult to accurately evaluate the status of massive power equipment.
[0090] In order to verify that this method can more accurately evaluate the state of power equipment compared with the AR power equipment fault identification method, in this embodiment, the AR power equipment fault identification method and this method will be used to evaluate and compare the state of the transformer in real time.
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