He corresponding author, upon request. Acknowledgments: This research was funded by the National Institute for Well being Research (NIHR) (GHR 16/137/45) making use of UK aid from the UK Government to assistance worldwide health study. The views expressed in this publication are these of the author(s) and not necessarily these in the NIHR or the UK Division of Health and Social Care. The authors acknowledge Imperial College London for being a coinvestigator on the project. Thiran Sellahewa wishes to thank Spencer Barnes and Michael Berthaume for designing the fixator and Spencer for assisting in mechanical testing and for Figure eight. Conflicts of Interest: The authors declare that they’ve no conflict of interest. All funding sources have been disclosed in the acknowledgements.
applied sciencesArticleRemaining Useful Life Prediction of the Concrete Piston Based on Probability Statistics and Information DrivenJie Li , Yuejin Tan, Bingfeng Ge , Hua Zhao and Xin LuCollege of Systems Rimsulfuron supplier Engineering, National University of Defense Technology, Changsha 410073, China; [email protected] (Y.T.); [email protected] (B.G.); [email protected] (H.Z.); [email protected] (X.L.) Correspondence: [email protected]: This paper proposes a technique on predicting the remaining helpful life (RUL) of a concrete piston of a concrete pump truck based on probability statistics and datadriven approaches. Firstly, the typical helpful life of the concrete piston is determined by probability distribution fitting using actual life information. Secondly, in accordance with condition monitoring information on the concrete pump truck, a concept of life coefficient of the concrete piston is proposed to represent the influence in the loading condition on the actual helpful life of person concrete pistons, and various regression models are established to predict the RUL from the concrete pistons. Ultimately, as outlined by the prediction result on the concrete piston at distinctive life stages, a Tenofovir diphosphate Anti-infection replacement warning point is established to provide help for the inventory management and replacement strategy of your concrete piston. Keywords: Weibull distribution; condition monitoring data; remaining useful life; life coefficient; replacement warning pointCitation: Li, J.; Tan, Y.; Ge, B.; Zhao, H.; Lu, X. Remaining Useful Life Prediction in the Concrete Piston According to Probability Statistics and Information Driven. Appl. Sci. 2021, 11, 8482. https://doi.org/10.3390/ app11188482 Academic Editors: Kang Su Kim and Jorge de Brito Received: 21 July 2021 Accepted: 6 September 2021 Published: 13 September1. Preface As well as the continuous progress of modern day manufacturing technologies, the structure of mechanical and electrical systems is extra and more complex, which brings new challenges to fault prediction and wellness management with the technique. Parts are vital elements of mechanical and electrical solution systems, once the components fail, it might affect the healthier operation on the entire method, or perhaps result in severe loss of life and property. Consequently, the remaining valuable life (RUL) prediction of parts has become a important study concern of fault prediction and well being management [1]. Lei Y et al. [4] offered a evaluation on machinery prognostics following its complete plan, i.e., from information acquisition to RUL prediction. Jay Lee et al. [5] provided a overview around the method style of prognostics and overall health management, and gave a tutorial for the choice of RUL prediction approaches by comparing their benefits and disadvantages. A.
