He corresponding author, upon request. Acknowledgments: This investigation was funded by the National Institute for Wellness Investigation (NIHR) (GHR 16/137/45) applying UK aid in the UK Government to support worldwide well being research. The views expressed in this publication are these from the author(s) and not necessarily those of your NIHR or the UK Department of Well being and Social Care. The authors acknowledge Imperial College London for being a coinvestigator of 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 within the acknowledgements.
applied sciencesArticleRemaining Beneficial Life Prediction of your Calcium ionophore I In Vitro concrete Piston Depending on Probability Statistics and Information DrivenJie Li , Yuejin Tan, Bingfeng Ge , Hua Zhao and Xin LuCollege of Systems Engineering, National University of Defense Technologies, 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 system 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 valuable life from the concrete piston is determined by probability distribution fitting utilizing actual life information. Secondly, according to situation monitoring information on the concrete pump truck, a notion of life coefficient with the concrete piston is proposed to represent the influence of the loading situation AZD4694 supplier around the actual beneficial life of person concrete pistons, and unique regression models are established to predict the RUL in the concrete pistons. Ultimately, according to the prediction result with the concrete piston at unique life stages, a replacement warning point is established to provide support for the inventory management and replacement plan from the concrete piston. Key phrases: Weibull distribution; condition monitoring data; remaining valuable life; life coefficient; replacement warning pointCitation: Li, J.; Tan, Y.; Ge, B.; Zhao, H.; Lu, X. Remaining Useful Life Prediction on the Concrete Piston Determined by 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 Together with the continuous progress of modern manufacturing technology, the structure of mechanical and electrical systems is far more and much more complicated, which brings new challenges to fault prediction and well being management of the system. Components are important components of mechanical and electrical item systems, after the parts fail, it may affect the healthier operation in the complete technique, or even bring about severe loss of life and property. Therefore, the remaining beneficial life (RUL) prediction of parts has turn out to be a key analysis concern of fault prediction and overall health management [1]. Lei Y et al. [4] supplied a critique on machinery prognostics following its complete plan, i.e., from information acquisition to RUL prediction. Jay Lee et al. [5] provided a assessment around the program design and style of prognostics and health management, and gave a tutorial for the selection of RUL prediction approaches by comparing their positive aspects and disadvantages. A.
