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Open AccessJournal ArticleDOI

Energy Consumption Estimation for Machining Processes Based on Real-time Shop Floor Monitoring via Wireless Sensor Networks☆

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TLDR
In this article, a machine tool monitoring methodology that integrates sensory systems, a scheduling module, and human operators to perform real-time monitoring on the shop floor is presented, where the collected information is fused through an information fusion mechanism to extract meaningful results.
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This article is published in Procedia CIRP.The article was published on 2016-01-01 and is currently open access. It has received 53 citations till now. The article focuses on the topics: Energy consumption & Cloud manufacturing.

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Citations
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Journal ArticleDOI

Data-driven smart manufacturing

TL;DR: The role of big data in supporting smart manufacturing is discussed, a historical perspective to data lifecycle in manufacturing is overviewed, and a conceptual framework proposed in the paper is proposed.
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Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing

TL;DR: A novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physicalShop-floor, virtual shop- Floor, shop- floor service system, and shop-ground digital twin data.
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Simulation in the design and operation of manufacturing systems: state of the art and new trends

TL;DR: How the urge towards digitalisation of manufacturing in the context of the 4th Industrial revolution has shaped simulation in the design and operation of manufacturing systems is described and the new approaches that have arisen in the literature are reviewed.
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Industrial Big Data as a Result of IoT Adoption in Manufacturing

TL;DR: This paper presents how the adoption of IoT in manufacturing, considering sensory systems and mobile devices, will generate industrial Big Data, and a developed IoT application is presented showing how real industrial data can be generated leading to Industrial Big Data.
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Scheduling in cloud manufacturing: state-of-the-art and research challenges

TL;DR: A state-of-the-art literature survey on scheduling issues in cloud manufacturing and a detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier’s Scopus abstract and citation database.
References
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Journal ArticleDOI

A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
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An introduction to multisensor data fusion

TL;DR: This paper provides a tutorial on data fusion, introducing data fusion applications, process models, and identification of applicable techniques.
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From cloud computing to cloud manufacturing

TL;DR: Some of the essential features of cloud computing are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves.
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Advanced monitoring of machining operations

TL;DR: In this paper, the past contributions of CIRP in these areas are reviewed and an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring is provided.
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An introduction to case-based reasoning

TL;DR: This paper discusses the processes involved in case-based reasoning and the tasks for which case- based reasoning is useful.
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