Reliability evaluation method of spinning frame with multiple performance degradation process

The key performance parameters of spinning frame are difficult to be indentified and the performance degradation model is difficult to be established. To solve the problem, a reliability evaluation method for multiple performance degradation process of spinning frame is proposed. The relationship between the performance parameters of the spinning frame was analyzed, and the subjective and objective comprehensive weight identification method was used to screen the monitored performance parameters. The parameters with comprehensive weight greater than 0.5 were selected as the characterization parameters of the performance degradation of the spinning frame. The Wiener process was used to fit the multiple parameter degradation failure track. The Copula function was used to analyze the correlation of multiple parameter degradation failure process, and the Gibbs algorithm was used to estimate the parameters. The application results show that the proposed reliability evaluation method is in line with the actual production, and has high accuracy, which is helpful to improve the reliability level of spinning frame performance.