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.
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2017-06-23
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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 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...