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Kernel density estimation-based load spectrum compilation method for transmission shaft of tracked vehicle

A technology of kernel density estimation and load spectrum, which is applied in the field of track vehicle drive shaft load spectrum compilation based on kernel density estimation, and can solve problems such as reliability issues.

Active Publication Date: 2017-06-23
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Problems solved by technology

[0004] In view of the above-mentioned analysis, the present invention aims to provide a method for formulating the load spectrum of the drive shaft of tracked vehicles based on kernel density estimation, in order to solve the problem of the credibility of the load spectrum of the drive shaft of the existing tracked vehicle

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  • Kernel density estimation-based load spectrum compilation method for transmission shaft of tracked vehicle
  • Kernel density estimation-based load spectrum compilation method for transmission shaft of tracked vehicle
  • Kernel density estimation-based load spectrum compilation method for transmission shaft of tracked vehicle

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Embodiment Construction

[0074] Preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principles of the present invention.

[0075] Such as figure 1 As shown, the load spectrum compilation method of this embodiment includes the following steps:

[0076] Step S1, collecting and preprocessing the torque load sample data of the tracked vehicle;

[0077] Specifically include the following sub-steps:

[0078] Step S101: Carry out n laps of tracked vehicle real vehicle tests, collect the transmission shaft load data of each lap of tracked vehicles in real time, and form n independent random sample data.

[0079] Specifically, as figure 2 As shown, the torque sensor is arranged on the input shaft of the left reducer to obtain the torque signal, and the resistance strain gauge i...

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Abstract

The invention relates to a kernel density estimation-based load spectrum compilation method for a transmission shaft of a tracked vehicle. The method comprises the following steps of S1, collecting and preprocessing torque load sample data of the tracked vehicle; and S2, generating a two-dimensional load spectrum through first two-time rain flow counting, mean amplitude extremum inference, second rain flow counting, two-dimensional kernel density estimation, multi-condition synthesis and extrapolation in sequence. According to the method, the two-time rain flow counting is adopted; a first rain flow counting result is used for the mean amplitude extremum inference; a second rain flow counting result is used for the kernel density estimation; mean amplitude distribution can be well fitted; and an actually measured rain flow matrix can be reasonably extrapolated. The load spectrum compiled by adopting the method and the actually measured rain flow matrix have highly similar probability density distribution, reasonable extrapolation of the actually measured rain flow matrix is realized, and an expected effect is achieved.

Description

technical field [0001] The invention relates to the technical field of vehicle reliability, in particular to a method for compiling a drive shaft load spectrum of a tracked vehicle based on kernel density estimation. Background technique [0002] The load spectrum is the basic basis for the mechanical structure design and fatigue test of the vehicle's loaded parts. Obtaining a load spectrum that meets the actual use conditions is an important prerequisite for the anti-fatigue design of vehicle parts. Since the load cycle includes two dimensions of amplitude and mean value, the two-parameter rainflow counting method that can reflect the mechanical properties of materials has become a common counting method in the process of compiling load spectra. Based on the probability distribution of logarithmic equivalent life of typical tasks, Yan Chuliang proposed a high-confidence median fatigue load spectrum compilation principle, which improved the reliability of aircraft structure ...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F2119/04
Inventor 刘海鸥张文胜徐宜张洪彦席军强
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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