Remaining Useful Life Prediction of the Concrete Piston Based on Probability Statistics and Data Driven

This paper proposes a method on predicting the remaining useful life (RUL) of a concrete piston of a concrete pump truck based on probability statistics and data-driven approaches. Firstly, the average useful life of the concrete piston is determined by probability distribution fitting using actual life data. Secondly, according to condition monitoring data of the concrete pump truck, a concept of life coefficient of the concrete piston is proposed to represent the influence of the loading condition on the actual useful life of individual concrete pistons, and different regression models are established to predict the RUL of the concrete pistons. Finally, according to the prediction result of the concrete piston at different life stages, a replacement warning point is established to provide support for the inventory management and replacement plan of the concrete piston.

Automated summary

This paper proposes a method for predicting the remaining useful life of a concrete piston in a concrete pump truck using probability statistics and data-driven approaches. It determines the average useful life through probability distribution fitting and establishes regression models based on loading conditions to predict the RUL. Finally, it establishes a replacement warning point based on predictions at different life stages to support inventory management and replacement planning.