Abstract
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.
Highlights
Data OverviewThe data studied in this paper were collected from 129 concrete pump trucks of a construction machinery enterprise from January to December 2019, including two types of data: condition monitoring data of the concrete pump truck and replacement information data of the concrete piston
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The remaining useful life (RUL) of 325 concrete pistons is predicted using the proposed method, where the estimation error is less than 4.73%
Summary
The data studied in this paper were collected from 129 concrete pump trucks of a construction machinery enterprise from January to December 2019, including two types of data: condition monitoring data of the concrete pump truck and replacement information data of the concrete piston. The condition monitoring data of the concrete pump truck includes time, GPS latitude, GPS longitude, engine speed, hydraulic oil temperature, system pressure, pumping capacity, cumulative fuel consumption, reversing frequency, cumulative working time, and pump truck status, etc., which are uploaded to the enterprise’s networked operation and maintenance platform through the Internet of Things. The replacement information data, which refers to the actual working life of the concrete piston when it is replaced because of failure, is directly inputted into the networked operation and maintenance platform by the service engineer of the enterprise
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