In order to realize the evaluation of the vehicle transmission system
health degree, a prediction model by multi-level data fusion method is
established in this paper. The prediction model applies PSO(Particle
Swarm Optimization)-BP(Back Propagation) neural network algorithm,
calculates the whole machine health degree and each module respective
weights from the test data. On this basis, it analyzes the error between
the model calculated health degree and theoretical health degree. Then
the research verifies the validity and prediction model accuracy. The
health degree which is obtained by the single module feature parameters
fusion, and the vehicle transmission system health degree is investigated,
which is less effective compared to the three-level fusions. After that, by
analyzing the vehicle transmission system multi-parameter feature
weights, it is found that the mechanical module accounted for the largest
damage rate, and the three modules influenced the vehicle transmission
system health degree in the order of mechanical module, hydraulic
module, and electric control module. The study has played a guiding role
in the health management of complex equipment.
Local high temperature, stress concentration, and abnormal friction coefficients will appear at the friction pair in a wet clutch as a result of surface topography real-time changing. In order to improve the reliability of clutch friction components and reduce the failure phenomenon, the three-dimensional fractal surface topography data of the actual rough surface asperities are scanned, extracted, and processed successively, and then the finite element model of the rotary sliding friction pair is established considering the micro surface topography. Based on the finite element model, the variation of surface stress and strain is analyzed, and the friction coefficient measured experimentally is taken as the model input. It is concluded that when the rough surface and smooth surface make contact with each other, the maximum stress and plastic strain appear at the inner radius edge. Therefore, this research has a guiding significance for the structural design and processing technology of the friction components in a vehicle clutch.
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