Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning

2021 ◽  
pp. 1-20
Author(s):  
Nooshin Yousefi ◽  
Stamatis Tsianikas ◽  
David W. Coit
Author(s):  
Jimmy Ming-Tai Wu ◽  
Qian Teng ◽  
Shahab Tayeb ◽  
Jerry Chun-Wei Lin

AbstractThe high average-utility itemset mining (HAUIM) was established to provide a fair measure instead of genetic high-utility itemset mining (HUIM) for revealing the satisfied and interesting patterns. In practical applications, the database is dynamically changed when insertion/deletion operations are performed on databases. Several works were designed to handle the insertion process but fewer studies focused on processing the deletion process for knowledge maintenance. In this paper, we then develop a PRE-HAUI-DEL algorithm that utilizes the pre-large concept on HAUIM for handling transaction deletion in the dynamic databases. The pre-large concept is served as the buffer on HAUIM that reduces the number of database scans while the database is updated particularly in transaction deletion. Two upper-bound values are also established here to reduce the unpromising candidates early which can speed up the computational cost. From the experimental results, the designed PRE-HAUI-DEL algorithm is well performed compared to the Apriori-like model in terms of runtime, memory, and scalability in dynamic databases.


Author(s):  
Ashurova Dilfuza Nabiyevna ◽  
◽  
Abjalilov Sanakul Xujamovich ◽  
Toshtemirova Kamola Ergashevna ◽  
◽  
...  

In this work on the example of educational system of Uzbekistan the new paradigm of education is substantiated in the following edition: education through all life. It is demonstrated that the proposed in correspondence to this paradigm the formalized model reflects multi-component system, multi-variant approaches and cyclist of educational process in a modern society. The examples of educational processes which are modeled within the framework of proposed formalized model of education are presented.


Author(s):  
Soumyajyoti Biswas ◽  
Lucas Goehring ◽  
Bikas K. Chakrabarti

Manifestations of emergent properties in stressed disordered materials are often the result of an interplay between strong perturbations in the stress field around defects. The collective response of a long-ranged correlated multi-component system is an ideal playing field for statistical physics. Hence, many aspects of such collective responses in widely spread length and energy scales can be addressed by the tools of statistical physics. In this theme issue, some of these aspects are treated from various angles of experiments, simulations and analytical methods, and connected together by their common base of complex-system dynamics. This article is part of the theme issue ‘Statistical physics of fracture and earthquakes’ .


Author(s):  
A Fioravanti ◽  
A J Fletcher

A novel honing and polishing process utilizes polyborosiloxane impregnated with a range of abrasives in particulate form, to polish mould cavities of complex geometry. The polymer, which deforms in such a way as to allow complete coverage of the target surface, is used to carry the abrasive. This compound is agitated using an ultrasonic source and is made to flow relative to the target surface. The process causes heating of the various components in the system. This is the second paper concerned with the prediction of the resultant temperature distributions. The work reported here is an extension of the previous work to take into account the complex geometry of the multi-component system used in the operation. Furthermore, the development of the honing process required the introduction of flow of polishing compound relative to the workpiece. As a result the previous work has been extended to take into account the thermal effects of this flow. The modelling work has been complemented by measurement of temperatures in a geometry that is representative of the processing requirements. The calculated and measured results have been compared and the model validated accordingly.


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