CN-122015744-A - High-precision deviation diagnosis method for resonant cavity based on multimode analysis

CN122015744ACN 122015744 ACN122015744 ACN 122015744ACN-122015744-A

Abstract

The invention discloses a high-precision deviation diagnosis method for a resonant cavity based on multimode analysis, and relates to the technical field of high-frequency resonant cavities. The method comprises the steps of S1, constructing a physical deviation-resonance characteristic data set, S2, obtaining resonance characteristics of a piece to be detected, S3, carrying out characteristic matching, and S4, completing deviation attribution. According to the invention, non-invasive high-precision diagnosis is realized through the multimode characteristics, so that not only are the efficiency and accuracy of deviation positioning improved, but also the nature, position and severity of the deviation can be effectively judged, and a targeted correction suggestion is provided.

Inventors

WANG JIANXUN
LI XINJIE
WAN YIXIN
JIANG WEI
WU ZEWEI

Assignees

电子科技大学

Dates

Publication Date: 20260512
Application Date: 20260114

Claims (5)

1. A resonant cavity high-precision deviation diagnosis method based on multimode data analysis is characterized by comprising the following steps: S1, constructing a physical deviation-resonance characteristic data set; Changing the geometric dimension and the assembly parameters of the ideal simulation model for a plurality of times to obtain S parameters corresponding to error models with different structural parameters, and obtaining a simulation data set; performing feature optimization processing on each piece of simulation data in the simulation data set by using the S parameter of the ideal simulation model, and constructing a database based on the optimized simulation data; S2, obtaining resonance characteristics of the to-be-detected piece; S parameter measurement is carried out on the resonant cavity to be tested, the frequency and the return loss corresponding to each resonant mode in the S parameter are extracted, normalization processing is carried out on the basis of reference data, and frequency characteristic data and return loss characteristic data of the resonant cavity to be tested are obtained, so that resonant characteristics capable of representing the state of the piece to be tested are formed; S3, performing feature matching; carrying out mode matching on the resonance characteristics of the to-be-detected piece and the database established in the step S1 to obtain a group of simulation data which is most consistent with the resonance characteristics of the to-be-detected piece; S4, finishing deviation attribution; And (3) judging the nature, the position and the severity of the existing machining or assembling problems based on the geometric dimension and the assembling parameters of the to-be-detected piece obtained in the step (S3), and outputting a deviation diagnosis report.
2. The method for diagnosing the high-precision deviation of the resonant cavity based on the multimode data analysis of claim 1, wherein in the step S1, the characteristic optimization mode is that the S parameter comprises a plurality of resonant modes, frequencies and return loss corresponding to the resonant modes in the S parameter of an ideal simulation model are used as reference data, the frequencies and the return loss corresponding to the resonant modes in the S parameter of the simulation data are extracted, and normalization processing is carried out based on the reference data to obtain frequency characteristic data and return loss characteristic data.
3. The method for diagnosing high-precision deviations of a resonant cavity based on multimode data analysis as set forth in claim 2, wherein in step S3, the pattern matching is performed as follows: firstly, determining a main mode and a secondary mode according to the working mode of a resonant cavity, setting different weights for the modes, then extracting the frequency deviation and return loss deviation of the resonant cavity to be detected and the modes in a database, and taking the weighted deviation result as a matching index.
4. The method for diagnosing high-precision deviation of a resonant cavity based on multimode data analysis as recited in claim 3, wherein in the pattern matching process, pattern recognition is performed on each resonant peak value by combining electromagnetic field distribution characteristics and quality factors recorded in a database, and different patterns are ensured to be corresponding to ensure that a set of simulation data which is most consistent with the resonant characteristics of a piece to be tested is obtained.
5. The method for diagnosing high-precision deviations of resonant cavities based on multimode data analysis as set forth in claim 4, wherein said method comprises the steps of processing a plurality of resonant cavities based on an ideal simulation model, measuring the geometric dimensions and assembly parameters of said resonant cavities, detecting the assembly parameters to obtain S parameters, and inputting the data of each resonant cavity into a database to supplement actual processing deviation data.

Description

High-precision deviation diagnosis method for resonant cavity based on multimode analysis Technical Field The invention relates to the technical field of high-frequency resonant cavities, in particular to a resonant cavity high-precision deviation diagnosis method based on multimode analysis. Background Along with the development of high-frequency microwave and millimeter wave technology, the size of the resonant cavity tends to be tiny, and the precision requirements in the processing and assembling processes become extremely strict. However, due to the small size of the resonator, small errors in its fabrication and assembly can lead to significant performance variations, such as frequency offset, return loss degradation, and mode variations. In addition, after the welding of the parts of the resonant cavity is completed, it is difficult to accurately measure the dimensional change and the welding deviation inside the cavity. These changes are routinely diagnosed by measurement and empirical analysis, which is inefficient and limited in accuracy. At present, a method for rapidly positioning processing and assembly problems through resonant cavity mode frequency changes is lacking. Although some research has been done on resonant cavity frequency adjustment, the approach has focused on adjusting structural parameters to change the frequency of the operating mode, and lack a non-invasive accurate analysis of the internal conditions of the resonant cavity. Although other fields are related to production control researches, the problems of 1 and insufficient scene adaptability exist, and the sensitivity of the high-frequency resonant cavity to dimensional change and assembly errors is far higher than that of a common device, and specific parts of the dimensional change are required to be accurately positioned to improve processing control. 2. The prior analysis method mainly depends on S parameters and size analysis of the cavity, is difficult to comprehensively capture multidimensional information such as frequency change, mode distribution and the like, and particularly cannot diagnose specific mode change caused by processing or assembly. 3. On the premise of not damaging the resonant cavity, the internal structural change of the resonant cavity is difficult to detect rapidly and accurately. Disclosure of Invention In order to overcome the defects of the prior art, the invention provides a resonant cavity high-precision deviation diagnosis method based on multimode data analysis, which aims to solve the problems of low diagnosis efficiency, insufficient precision and difficult nondestructive detection of the inside in the process of processing and assembling the resonant cavity. Considering that a Vector Network Analyzer (VNA) in actual test generally has wider frequency scanning bandwidth, not only can capture the resonance peak of a target working mode, but also comprises a plurality of frequency responses of high-order or adjacent modes, the frequency distribution of the non-working modes is sensitive to local changes of a resonant cavity structure, has different response characteristics to different types of size deviations, provides richer structural information compared with the mode only focusing on a single working mode, and is beneficial to improving the resolution capability of deviation diagnosis. Compared with the traditional method, the invention is used as a non-invasive detection method, can realize high-precision detection on the premise of not damaging the resonant cavity, and simultaneously remarkably optimizes the detection efficiency. In order to achieve the above object, the present invention provides the following technical solutions: A resonant cavity high-precision deviation diagnosis method based on multimode data analysis is characterized by comprising the following steps: S1, constructing a physical deviation-resonance characteristic data set; And changing the geometric dimension and the assembly parameters of the ideal simulation model for a plurality of times to obtain S parameters corresponding to the error model with different structural parameters, thereby obtaining a simulation data set. And performing feature optimization processing on each piece of simulation data in the simulation data set by using the S parameter of the ideal simulation model, and constructing a database based on the optimized simulation data. The characteristic optimization mode is that the S parameter comprises a plurality of resonance modes, frequencies and return loss corresponding to the resonance modes in the S parameter of the ideal simulation model are used as reference data, the frequencies and the return loss corresponding to the resonance modes in the S parameter of the simulation data are extracted, and normalization processing is carried out based on the reference data to obtain frequency characteristic data and return loss characteristic data. S2, obtaining resonance characteristics of the