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相关论文: A Survey on Predictive Maintenance for Industry 4.…

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Industrie 4.0 is originally a future vision described in the high-tech strategy of the German government that is conceived upon the information and communication technologies like Cyber-Physical Systems, Internet of Things, Physical…

其他计算机科学 · 计算机科学 2017-10-25 Selim Coskun , Yasanur Kayikci , Eray Gencay

The research and development of intelligent automation solutions is a ground-breaking point for the factory of the future. A promising and challenging mission is the use of autonomous robot systems to automate tasks in the field of…

机器人学 · 计算机科学 2025-08-27 Christian Friedrich , Akos Csiszar , Armin Lechler , Alexander Verl

Insufficient steel quality in mass production can cause extremely costly damage to tooling, production downtimes and low quality products. Automatic, fast and cheap strategies to estimate essential material properties for quality control,…

机器学习 · 计算机科学 2022-06-14 Michiel Straat , Kevin Koster , Nick Goet , Kerstin Bunte

The size of a software artifact influences the software quality and impacts the development process. In industry, when software size exceeds certain thresholds, memory errors accumulate and development tools might not be able to cope…

In this paper, we explore the transformative impact of Artificial Intelligence (AI) in the manufacturing sector, highlighting its potential to revolutionize industry practices and enhance operational efficiency. We delve into various…

人工智能 · 计算机科学 2024-07-09 Mohamed Abdelaal

Industrial timetabling is a critical task for decision-makers across various sectors to ensure efficient system operation. In real-world settings, it remains challenging because unexpected events often disrupt execution. When such events…

人机交互 · 计算机科学 2026-01-13 Kévin Ducharlet , Liwen Zhang , Sara Maqrot , Houssem Saidi

Industry 4.0 offers opportunities to combine multiple sensor data sources using IoT technologies for better utilization of raw material in production lines. A common belief that data is readily available (the big data phenomenon), is…

机器学习 · 计算机科学 2022-04-27 Roee Shraga , Gil Katz , Yael Badian , Nitay Calderon , Avigdor Gal

The latest Industrial revolution has helped industries in achieving very high rates of productivity and efficiency. It has introduced data aggregation and cyber-physical systems to optimize planning and scheduling. Although, uncertainty in…

其他统计学 · 统计学 2021-01-15 Ashwin Misra , Ankit Mittal , Vihaan Misra , Deepanshu Pandey

During the life of a wind farm, various types of costs arise. A large share of the operational cost for a wind farm is due to maintenance of the wind turbine equipment; these costs are especially pronounced for offshore wind farms and…

最优化与控制 · 数学 2021-05-17 Quanjiang Yu , Ann-Brith Strömberg

The City of Detroit maintains an active fleet of over 2500 vehicles, spending an annual average of over \$5 million on new vehicle purchases and over \$7.7 million on maintaining this fleet. Understanding the existence of patterns and…

计算机与社会 · 计算机科学 2017-10-19 Josh Gardner , Danai Koutra , Jawad Mroueh , Victor Pang , Arya Farahi , Sam Krassenstein , Jared Webb

This paper presents an interpretable review of various machine learning and deep learning models to predict the maintenance of aircraft engine to avoid any kind of disaster. One of the advantages of the strategy is that it can work with…

机器学习 · 计算机科学 2023-09-26 Abdullah Al Hasib , Ashikur Rahman , Mahpara Khabir , Md. Tanvir Rouf Shawon

With the rapid development of cloud computing and big data technologies, storage systems have become a fundamental building block of datacenters, incorporating hardware innovations such as flash solid state drives and non-volatile memories,…

数据库 · 计算机科学 2023-08-01 Chenyuan Wu

The rapid development of Industry 4.0 technologies requires robust and comprehensive standardization to ensure interoperability, safety and efficiency in the Industry of the Future. This paper examines the fundamental role and functionality…

新兴技术 · 计算机科学 2025-03-13 Olga Meyer , Marvin Boell , Christoph Legat

Fault detection in industrial plants is a hot research area as more and more sensor data are being collected throughout the industrial process. Automatic data-driven approaches are widely needed and seen as a promising area of investment.…

机器学习 · 统计学 2016-03-21 Wei Xiao

In the current competitive world, industrial companies seek to manufacture products of higher quality which can be achieved by increasing reliability, maintainability and thus the availability of products. On the other hand, improvement in…

机器学习 · 计算机科学 2012-01-31 Golriz Amooee , Behrouz Minaei-Bidgoli , Malihe Bagheri-Dehnavi

Modern telescope facilities generate data from various sources, including sensors, weather stations, LiDARs, and FRAMs. Sophisticated software architectures using the Internet of Things (IoT) and big data technologies are required to manage…

天体物理仪器与方法 · 物理学 2024-06-12 Federico Incardona , Alessandro Costa , Giuseppe Leto , Kevin Munari , Giovanni Pareschi , Salvatore Scuderi , Gino Tosti

The Fourth Industrial Revolution commonly refers to the accelerating technological transformation that has been taking place in the 21st century. Economic growth theories which treat the accumulation of knowledge and its effect on…

理论经济学 · 经济学 2025-12-23 Georgios A. Tritsaris

The new wave of digitization induced by Industry 4.0 calls for ubiquitous and reliable connectivity to perform and automate industrial operations. 5G networks can afford the extreme requirements of heterogeneous vertical applications, but…

机器学习 · 计算机科学 2022-11-14 Alessandro Lieto , Qi Liao , Christian Bauer

This paper deals with the impact of fault prediction techniques on checkpointing strategies. We suppose that the fault-prediction system provides prediction windows instead of exact predictions, which dramatically complicates the analysis…

分布式、并行与集群计算 · 计算机科学 2013-02-20 Guillaume Aupy , Yves Robert , Frédéric Vivien , Dounia Zaidouni

Smart manufacturing is a vision and major driver for change in industrial environments. The goal of smart manufacturing is to optimize manufacturing processes through constantly monitoring and adapting processes towards more efficient and…