An abrasion damage evaluation method of metal mechanical material for automotive chassis based on wavelet transform

In order to overcome the problems of low accuracy and low fitting rate of traditional methods for evaluating abrasion damage of metal mechanical materials, a new method for evaluating abrasion damage of metal mechanical materials of automobile chassis based on wavelet transform is proposed in this paper. This method utilises the time-frequency joint wavelet feature extraction algorithm and the correlation coefficient algorithm to realise the extraction and selection of damage features. The membership function is constructed by the method of fuzzy statistics to evaluate the abrasion damage of metal mechanical materials in automobile chassis. The experimental results show that the evaluation accuracy of the proposed method is higher than 75%, and the fitting rate is higher than 56%, which proves that the proposed method has better evaluation effect.