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Rain flow counting processing method for long-time course vibration signals

A vibration signal and rainflow counting technology, applied in the field of graded fatigue spectrum, can solve problems such as low calculation efficiency and long calculation time, and achieve the effect of improving performance utilization

Pending Publication Date: 2021-04-16
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

For such signals, the traditional rainflow counting processing is inefficient and takes too long

Method used

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  • Rain flow counting processing method for long-time course vibration signals
  • Rain flow counting processing method for long-time course vibration signals
  • Rain flow counting processing method for long-time course vibration signals

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Embodiment Construction

[0041] The invention discloses a rainflow counting processing method for a long-time history vibration signal, which constructs a graded fatigue spectrum by processing the long-time history vibration signal, and creates conditions for the realization of structural fatigue life estimation under vibration spectrum excitation. This method improves the calculation speed and accuracy of rainflow counting processing, and is suitable for rainflow counting processing of vibration signals with long vibration time and large time-domain sample data, especially for solving structural load-stress fatigue spectrum with low-frequency steady random vibration structure. The method of the present invention specifies a criterion for dividing the long-term history vibration signal data into blocks: select the same vibration level point as the selection starting point of the block, take twice the time length of the block signal as the initial time length, and divide the data into blocks Perform ca...

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Abstract

The invention discloses a rain flow counting processing method for a long-time-history vibration signal. The method comprises the steps: carrying out the effective data partitioning: selecting the same vibration horizontal point as a selection starting point of partitioning, taking two times of the time length of a partitioning signal as an initial time length, carrying out the Fourier transform calculation of the data partitioning, and obtaining the data power spectral density distribution; wherein the error between each frequency point and the vibration power spectrum is smaller than a specified value; and based on multiprocessor computer hardware and software programming, carrying out rain flow parallel processing on each vibration data block to obtain a fatigue grading spectrum of each data block. And finally, carrying out average calculation on the frequency count of each amplitude grading of all the data blocks, and finally, obtaining the fatigue spectrum of the whole vibration signal. The method improves the calculation speed and precision of rain flow counting processing, and is especially suitable for rain flow counting processing of large-time-domain sample data vibration signals with long vibration action time.

Description

technical field [0001] The invention relates to a method for constructing a graded fatigue spectrum by processing long-time history vibration signals, in particular to a rainflow counting processing method for long-time history vibration signals. Background technique [0002] In 1982, Academician Yan Chuliang of China systematically discussed the statistical processing of random fatigue loads and their physical models in his thesis by using the rainflow counting method to study the statistical processing procedures of the time history of random loads, including the analysis of the time history of random loads. Compression processing, detection of peak and valley values, graphical model of rainflow counting method, etc., are the basic theory of rainflow counting. Modern applications of rainflow counting are mostly based on this theory. [0003] For the problem of vibration fatigue, the load history of vibration signals in engineering practice is generally long, and the sampl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G01M7/02G01M13/00G06F119/04
Inventor 王轲顾秀聪
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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