Artificial Intelligence based Asset Management

J. Mattioli, Paolo Perico, Pierre-Olivier Robic
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引用次数: 9

Abstract

In a System Engineering perspective, asset management (AM) is related to a subset of techniques focusing on the in-service phase, aligned with product life-cycle management discipline. Today, within AM solution market, the integration of Artificial Intelligence (AI) technics above traditional entreprise solution is a key trend. This paper is focusing on how symbolic AI and data driven AI could improve some issues of the AM life cycle, in particular in asset acquisition, performance analysis and forecasting, asset monitoring, predictive and prescriptive maintenance, supply chain optimisation including spare parts management…
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基于人工智能的资产管理
从系统工程的角度来看,资产管理(AM)与专注于服务阶段的技术子集相关,与产品生命周期管理规程保持一致。如今,在增材制造解决方案市场中,人工智能(AI)技术在传统企业解决方案之上的集成是一个关键趋势。本文关注的是符号人工智能和数据驱动的人工智能如何改善增材制造生命周期的一些问题,特别是在资产获取、绩效分析和预测、资产监控、预测性和规范性维护、供应链优化(包括备件管理)等方面。
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