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A Batch Processing Method for Spectrum Automatic Refinement

A spectrum refinement and batch processing technology, applied in the field of data processing, can solve problems such as dense spectral lines in the characteristic frequency domain, irregular data dimensions, and many working conditions

Active Publication Date: 2021-08-17
BEIJING MECHANICAL EQUIP INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above analysis, the present invention aims to provide a batch processing method for automatic spectrum refinement to solve the existing problems of many working conditions, large amount of data, irregular data dimensions, and dense spectral lines in the characteristic frequency domain

Method used

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  • A Batch Processing Method for Spectrum Automatic Refinement
  • A Batch Processing Method for Spectrum Automatic Refinement
  • A Batch Processing Method for Spectrum Automatic Refinement

Examples

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Embodiment 1

[0061] A specific embodiment of the present invention discloses a batch processing method for automatic spectrum refinement, which specifically includes the following steps:

[0062] Step 1. According to different test boundary conditions, classify the collected data of different working conditions, and import them into the MATLAB workspace in batches;

[0063] Specifically, the test boundary conditions can be test time, load conditions, etc.;

[0064] Preprocess the data in order to prepare for data refinement judgments to improve the accuracy of subsequent judgments.

[0065] Step 2. Perform data normalization processing on the collected data of each working condition imported in batches;

[0066] Preferably, said step 2 includes the following steps:

[0067] Step 201, assuming that the number of collected data in a working condition is M, that is, including M data vectors of different lengths, find the maximum number of sampling points, that is, the maximum length, and de...

Embodiment 2

[0103] This embodiment describes in detail the monitoring method using the system described in Embodiment 1.

[0104] Step 1. According to different test boundary conditions, classify the collected data of different working conditions according to the boundary conditions such as test time and load conditions, and import them into the MATLAB workspace in batches;

[0105] Step 2. Perform data normalization processing on the collected data of a working condition imported in batches;

[0106] In the embodiment, the spectrum refinement processing of a working condition is illustrated. The actual data is simulated by numerical signal and imported into MATLAB for regularization. The two signals have the following form:

[0107] the s 1 =cos(2π100t 1 )+cos(2π101.5t 1 )+cos(2π102.8t 1 )

[0108] +cos(2π153.2t 1 )+cos(2π154.7t 1 )+cos(2π156.2t 1 );

[0109] t 1 = 0.001:0.001:1s;

[0110] the s 2 =cos(2π70t 2 )+cos(2π85t 2 )+cos(2π112t 2 );

[0111] t 2 =0.001:0.001:0...

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Abstract

The present invention relates to the technical field of data processing, in particular to a batch processing method for automatic spectrum refinement, comprising the following steps: collecting data; normalizing the data; obtaining effective peak frequency; judging whether refinement is required by effective frequency difference value Processing, perform linear Z transformation on those that need to be refined; repeat the above steps to complete the refinement of all working conditions. Using the above method, it can solve the problems of multiple working conditions, large amount of data, irregular data dimension, and dense spectral lines in the characteristic frequency domain in spectrum analysis, realize regular batch processing of data and automatic spectrum refinement processing, and effectively obtain data frequency characteristics.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a batch processing method for automatic spectrum refinement. Background technique [0002] Spectrum analysis is the most commonly used method in signal processing. Traditional spectrum analysis methods generally use Fast Fourier Transform (FFT) to obtain a panoramic spectrum of the entire frequency range. For fine observation and analysis, it is necessary to adopt a certain frequency refinement method to improve the frequency resolution. [0003] However, in large-scale experiments or numerical simulation analysis, the data generally have the following characteristics: many working conditions, large amount of data, irregular data dimensions, dense spectral lines in the characteristic frequency domain, etc. If manual spectrum calculation and analysis are used, the extraction efficiency of massive data spectrum features will be reduced, and there will be potential uncertai...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06K9/00
CPCG06F30/20G06F2218/14
Inventor 董建超李建冬王东魏韩玉明崔广志
Owner BEIJING MECHANICAL EQUIP INST
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