老化过程的马尔可夫模型-核心模型

2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2022-05-25 DOI:10.1109/SACI55618.2022.9919534

Mohammed Mudabbiruddin, L. Pokorádi

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引用次数: 1

摘要

在真实设备的使用过程中，它们的技术状态会随机变化，通常会变得更糟。这种随机过程被称为老化或磨损。作者的主要目的是基于马尔可夫过程理论和工业4.0数据收集系统获得的数据，创建一个预测技术系统老化过程的数学模型。本文介绍了一种可以实现上述目标的核心模型，并提出了未来的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Markovian Model of Ageing Processes - Core Model

During the use of real equipment their technical states randomly change, generally for the worse. This stochastic process is called ageing or wearing. The authors' main aim is to create a mathematical model for predicting the ageing process of technical systems based on the theory of Markov-processes and data obtained by Industry 4.0 data collection systems. A core-model is introduced in this paper which can be developed to achieve the goal mentioned above and the future research directions is proposed.

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来源期刊

2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)

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