دسته بندی:

مدیریت دانش - knowledge management

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سال انتشار:

2021

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عنوان انگلیسی مقاله:

A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective

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ترجمه فارسی عنوان مقاله:

یک سایه دیجیتال مبتنی بر دانش برای صنعت ماشینکاری در یک چشم انداز دیجیتال دوتایی

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منبع:

ScienceDirect- Elsevier- Journal of Manufacturing Systems, 58 (2021) 168-179: doi:10:1016/j:jmsy:2020:07:018

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نویسنده:

Asma Ladj

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چکیده انگلیسی:

This paper addresses the problems of data management and analytics for decision-aid by proposing a new vision of Digital Shadow (DS) which would be considered as the core component of a future Digital Twin. Knowledge generated by experts and artificial intelligence, is transformed into formal business rules and integrated into the DS to enable the characterization of the real behavior of the physical system throughout its operation stage. This behavior model is continuously enriched by direct or derived learning, in order to improve the digital twin. The proposed DS relies on data analytics (based on unsupervised learning) and on a knowledge inference engine. It enables the incidents to be detected and it is also able to decipher its operational context. An example of this application in the aeronautic machining industry is provided to stress both the feasibility of the proposition and its potential impact on shop floor performance.
keywords: سایه دیجیتال | دوقلو | داده ها و مدیریت دانش | ماشینکاری | Digital shadow | Digital twin | Data and knowledge management | Machining

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قیمت: رایگان

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توضیحات اضافی:

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