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期刊名:Journal of intelligent manufacturing

缩写:J INTELL MANUF

ISSN:0956-5515

e-ISSN:1572-8145

IF/分区:7.4/Q1

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共收录本刊相关文章索引27
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Bernadin Namoano,Christina Latsou,John Ahmet Erkoyuncu Bernadin Namoano
Anomaly detection in multivariate time-series data is critical for monitoring asset conditions, enabling prompt fault detection and diagnosis to mitigate damage, reduce downtime and enhance safety. Existing literature predominately emphasis...
Abdullah Alhijaily,Abdulrahman Alqarni,Zekai Murat Kilic et al. Abdullah Alhijaily et al.
Fixed robots have dominated the market of additive manufacturing (AM), despite presenting several limitations, such as the stationary nature of these robots and the limited workspace. Mobile robots solve these problems as they can move free...
Likun Wang,Zi Wang,Kevin Gumma et al. Likun Wang et al.
To meet the requirement of product variety and short production cycle, reconfigurable manufacturing system is considered as an effective solution in addressing current challenges, such as increasing customisation, high flexibility and dynam...
Callum O&#x;Donovan,Cinzia Giannetti,Cameron Pleydell-Pearce Callum O&#x;Donovan
During steel galvanisation, immersing steel strip into molten zinc forms a protective coating. Uniform coating thickness is crucial for quality and is achieved using air knives which wipe off excess zinc. At high strip speeds, zinc splatter...
Wei Guo,Yijin Wang,Xin Chen et al. Wei Guo et al.
Machine learning with considering data privacy-preservation and personalized models has received attentions, especially in the manufacturing field. The data often exist in the form of isolated islands and cannot be shared because of data pr...
Wenhao Yang,Qinqin Xiao,Yunbo Zhang Wenhao Yang
In the era of Industry 4.0, manufacturing enterprises are actively adopting collaborative robots (Cobots) in their productions. Current online and offline robot programming methods are difficult to use and require extensive experience or sk...
Marvin Walczok,Tanja Bipp Marvin Walczok
Intelligent assistance systems (IAS) are designed to counteract rising cognitive demands caused by increasingly individualized manufacturing processes in assembly. How IAS affect work characteristics which are crucial for promoting work mot...
Mohamed Elhefnawy,Ahmed Ragab,Mohamed-Salah Ouali Mohamed Elhefnawy
This paper proposes an innovative method for time-series prediction in energy-intensive industrial systems characterized by highly dynamic non-linear operations. The proposed method can capture the true distributions of the inputs and outpu...
Rachel Lacroix,Anna Timonina-Farkas,Ralf W Seifert Rachel Lacroix
Additive manufacturing (AM), originally used for prototyping, is increasingly adopted for custom final part production across different industries. However, printing speed and production volume are two barriers for the adoption of AM for pr...
Luis M Camarinha-Matos,Andre Dionisio Rocha,Paula Graça Luis M Camarinha-Matos
In recent years, the manufacturing sector is going through a major transformation, as reflected in the concept of Industry 4.0 and digital transformation. The urge for such transformation is intensified when we consider the growing societal...