A Load Spectrum Compilation Method for Tracked Vehicle Transmission Shaft Based on Kernel Density Estimation
A technology of kernel density estimation and density estimation, which is applied in computing, computer-aided design, instrumentation, etc., and can solve problems such as reliability problems
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2019-07-09
Smart Images

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Abstract
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 ...
Examples
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 principle of the present invention.
[0075] like 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, such 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 ...