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Maintenance Analytics – The New Know in Maintenance

机译:维护分析–维护新知识

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摘要

Abstract: Decision-making in maintenance has to be augmented to instantly understand and efficiently act, i.e. the new know. The new know in maintenance needs to focus on two aspects of knowing: 1) what can be known and 2) what must be known, in order to enable the maintenance decision-makers to take appropriate actions. Hence, the purpose of this paper is to propose a concept for knowledge discovery in maintenance with focus on Big Data and analytics. The concept is called Maintenance Analytics (MA) . MA focuses in the new knowledge discovery in maintenance. MA addresses the process of discovery, understanding, and communication of maintenance data from four time-related perspectives, i.e. 1) “Maintenance Descriptive Analytics (monitoring)”; 2) “Maintenance Diagnostic Analytics” ; 3) “Maintenance Predictive Analytics”; and 4) “Maintenance Prescriptive analytics” .
机译:摘要:必须加强维护决策,以便立即了解并有效采取行动,即掌握新知识。维护方面的新知识需要侧重于两个方面的知识:1)可以了解的知识; 2)必须知道的知识,以使维护决策者能够采取适当的措施。因此,本文的目的是提出一个维护知识发现的概念,重点关注大数据和分析。该概念称为维护分析(MA)。 MA专注于维护方面的新知识发现。 MA从四个与时间相关的角度解决了维护数据的发现,理解和通信过程,即:1)“维护描述性分析(监控)”; 2)“维护诊断分析”; 3)“维护预测分析”;和4)“维护规范分析”。

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