Health Assessment Method of Reinforcement Processing Equipment Based on Time Series

Abstract

In view of the large quantity and wide area of steel bar processing equipment but lack of scientific evaluation and management, a method of health evaluation of steel bar processing equipment based on time series is proposed. Firstly, the health index is taken as the standard to evaluate the overall health level of the equipment and a comprehensive evaluation model of the equipment health state is constructed. Secondly, the most representative characteristic parameters are determined to reflect the running state of the equipment and a variable health factor is proposed to modify the running state health index of the equipment by referring to the aging formula of the equipment health condition. In order to comprehensively consider the importance of equipment characteristic parameters and construct a more reasonable evaluation system, the method of calculating the weight value of characteristic parameters is improved by combining the ordinal relation method and the entropy weight method. Finally, a non-linear relationship model based on time series is established to fit the trend of the comprehensive health index of the equipment and predict the future health status and maintenance nodes of the equipment. The model is used to analyze the bending hoop machine of a steel bar processing factory and the results show that the model is feasible.